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Read more »2015 was an exciting year for big data and hadoop ecosystem. We saw hadoop becoming an essential part of data management strategy of almost all major enterprise organizations. There is cut throat competition among IT vendors now to help realize the vision of data hub, data lake and data warehouse with Hadoop and Spark.
<< HadoopSphere Top Big Data Influencers of 2014
As part of its annual assessment of big data and hadoop ecosystem, HadoopSphere publishes a list of top big data influencers each year. The list is derived based on a scientific methodology which involves assessing various parameters in each category of influencers. HadoopSphere Top Big Data Influencers list reflects the people, products, organizations and portals that exercised the most influence on big data and ecosystem in a particular year. The influencers have been listed in the following categories:
- Analysts
- Social Media
- Online Media
- Products
- Techies
- Coach
- Thought Leaders
|Doug Henschen
|It might have been hard to miss Doug Henschen writing for InformationWeek. With his accomplished media experience and proven expertise in industry analysis, Doug has now joined Wang at Constellation Research talking about big data. His current focus areas include good data, streaming, cloud solutions and self-service of data.
|Merv Adrian
|The saner voice on big data in the important research firm Gartner, Merv Adrian makes sure we make sense out of the dichotomy between data warehouse and data lake. He understands the breadth and depth of Hadoop ecosystem and provides the vision to cross the hype.
|Tony Baer
|When you talk to Tony Baer, don't expect rebel thoughts just plain incisive wisdom unravelling with each statement. More prose looking like poetry, the analysis casts an indelible effect on your understanding of the big data ecosystem. He remains top of the Hadoop analyst game for many years in a row now.
Social Media:
|Bernard Marr
|Bernard Marr is an author, speaker and consultant with wider interests in strategic performance, analytics, KPIs and big data. He is the founder of Advanced Performance Institute and provides consulting to various organizations. Bernard has a massive following on Twitter and his LinkedIn posts' generate huge interaction and interest.
|Cloudera is the market leader in Hadoop distros and at the same time continues to influence social media followers. It may not have the most number of followers compared to other companies but most of it's messages gets the right amplification and impact. Kudos to Cloudera social marketing team.
|Gregory Piatetsky-Shapiro
|As the President of KDnuggets, Gregory is a founder of KDD (Knowledge Discovery and Data mining conferences). His social media messages attract the right amount of traffic and eye balls making him one of the most relevant social media influencers.
Online Media:
|O'Reilly Media
|O'Reilly Media is a diversified group now with interests ranging from books to blogs, webinars to conferences. With Strata Hadoop World as one of its most visible product now after books, O'Reilly media is definitely shaping up the big data opinion in the industry.
|With research papers, blogs, webinars and education events, TDWI continues to attract impressions and leads for marketers.
|The Cube
|The Cube is a pioneering online television series filmed at various industry events. It brings the best minds on the show speaking up the future of big data. Chic image setting television, it boasts of the CxO speakers like no other forum can.
|Actian Vortex
|Actian Vortex is one real sharp SQL in Hadoop product which brings the best of database SQL to Hadoop and YARN world. With innovative engineering under the hood to support ACID transactions and higher performance, it has motivated quite a few solutions in its arena.
|Apache Flink
|Apache Flink started off a research product and soon created a unique identity for its streaming capabilities. It has influenced quite a few features in other competing streaming products like off heap memory management, datasets and the like.
|Kyvos Insights
|Kyvos Insights is an OLAP product building cubes at big data scale while assuring low latency SLA on Hadoop. With pre-canned cubes, interactive queries on terabytes of data within 2 seconds is a real possibility and an eye catcher. As the trendsetter for cubes on Hadoop, it has inspired a few other imitations on its trail but none at par so far.
|Reynold Xin
|As one of the co-founders of Databricks and Apache Spark, Reynold Xin continues to influence major innovations in Spark including Tungsten memory management, Dataframes and many more. Sharp and futuristic, he is a real tech force.
|Roman Shaposhnik
|With the Open Data Platform (ODP), Roman Shaposhnik has got a new home for corporate Hadoop and continues to lead the initiative magnificently. Pushing many other Apache projects alongside like BigTop and acting as mentors to others like Ignite, Roman emerged as a true tech leader in last year.
|Todd Lipcon
|When Todd brought HA to Hadoop, he brought Hadoop to the enterprise infrastructure. When Todd Lipcon has brought Kudu to Hadoop, he has brought Hadoop to the enterprise database. Believe it or not, but Todd has unassumingly and unwittingly become the enterprise champion for Hadoop.
|Paco Nathan
|If you are looking for a Spark session in an industry event or on online resources, chances are you have may have attended one of Paco Nathan's session. Evil mad scientist as he likes to proclaim himself, he is much more than Spark and lot of data science, maths, venture capital and learning coach among his many-many interests.
|Shane Curcuru
|Community over code and Apache open source over corporate proprietary, Shane Curcuru has been evangelizing Apache for years now. As one of ASF directors, he ensures Apache brand name is taken care of in right measure and the community driven projects get their right share of sun.
Thought Leaders:
|Ion Stoica
|As one of the main founders of Apache Spark, Ion Stoica already has rallied the entire data world around one product. However, his vison with Databricks does not seem to be confined to just a batch execution engine. It seems Databricks is out there to get a bigger share of data center with its cloud offerings and the innovations continue rolling in at an unprecedented velocity.
|Mike Olson
|As the Chief Strategy Officer and Chairperson of Cloudera, Mike Olson has made sure Cloudera remains at the top of the Hadoop game. Resisting off the market IPO or acquisition bait and maintaining the innovation path, he has been keeping Cloudera a steady ship. Open to disruptions like Spark and embracing partners, he has been one true leader who thinks and acts with vision and authority.
<< HadoopSphere Top Big Data Influencers of 2014
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The innovations continue at a rapid pace in SQL on Hadoop solutions with each vendor trying to outsmart the competition. In this second part of interview with Actian's Emma McGrattan, we try to understand architecture of Actian Vortex's SQL in Hadoop offering with particular focus on database/SQL layer named Vector. Emma is the Senior Vice President for Engineering at Actian and described the "Marchitecture" (as she likes to term it) in a conversation with Sachin Ghai. As per Emma, Actian Vortex product suite is among the fastest and most mature SQL 'in' Hadoop offering.
Actian Engineering has definitely put a lot of thought and innovation in the Vortex architecture. It is one of those products where the engineering team exactly knew the nuts and bolts of Hadoop as well as the cranks and shafts of database. It is rare currently to find an SQL offering which relies on HDFS as storage but still achieves enterprise grade resonant with the database category. Utilizing YARN more as an enabler and replication as an added blessing, Actian Vortex has made it's Vector database off-Hadoop to seamlessly transition to Hadoop. With more production implementations in future months, we can expect hardware disk requirements to get further optimized and in-memory features to take center stage.
Read more to understand its technical and functional architecture.
Actian Engineering has definitely put a lot of thought and innovation in the Vortex architecture. It is one of those products where the engineering team exactly knew the nuts and bolts of Hadoop as well as the cranks and shafts of database. It is rare currently to find an SQL offering which relies on HDFS as storage but still achieves enterprise grade resonant with the database category. Utilizing YARN more as an enabler and replication as an added blessing, Actian Vortex has made it's Vector database off-Hadoop to seamlessly transition to Hadoop. With more production implementations in future months, we can expect hardware disk requirements to get further optimized and in-memory features to take center stage.
Read more to understand its technical and functional architecture.
You mentioned about HDFS being one of bottlenecks for performance but what about YARN. Is YARN a bottleneck or an enabler for SQL on Hadoop solutions?
It's funny because it's both an enabler and can actually be a real challenge. Where it becomes a real challenge is the fact that YARN is not designed for long running tasks - it's designed for MapReduce jobs which are typically very short in duration. Typically for a database you expect to start the database and it should just keep running until you need to stop it. It's a long running task in that one would expect for a full quarter without ever coming down for maintenance and that's a challenge for YARN. We do some things within our products so that when we're using YARN, we can allow for the fact database is a long running task and be able to say I want to allocate more or less resources to the database. May be you are doing month end or quarter end processing and you want to give the database some additional cores from environment. You want to add in additional nodes that will speed up processing and then you want to remove those additional resources that you granted it when the quarter or the month is over. That's a challenge for YARN - so we needed to overcome that challenge because what we see is traditionally when you're dealing with EDW, you have periods of huge activity. What you want to do then is to give database as much resources you can spare and then take back afterwards.
We had to figure out how to do that with YARN and then the other thing that we need to figure out is how we drop priority of the database. It may be you've got the ETL task that you want to give priority to - you may want ETL processing to get the most of the resources but once the ETL processing is done, you want the database to get to full strength. That was another thing that we figured out with YARN. We were able to use YARN to get dynamic resource scheduling in terms of adding more resources and taking them away in a dynamic or elastic fashion. Typically when you're dealing with database, you are given a certain amount of memory that you're going to allow it to use over its lifetime and very rarely you want to shrink it. We were able to use YARN to figure out how to do that.
We also got the benefit of using YARN for some things like intelligent block replica placement. By default YARN will replicate the blocks that you write to HDFS and that's fantastic for database because you have that built-in failover capability. If you lose a disk there's another copy of the data after that you can cover from. But we were able to do was to tell YARN when we're writing block replicas that we want to tell where they are placed. If you're joining two tables and the tables are partitioned in such a way that the rows that you're joining aren't going to be co-located, we tell YARN we wanted to locate one of those replicas with the table that we are going to be joining it to. That way we were able to avoid any internal communication when doing complex query joins. YARN was hugely beneficial to do something like that. So yeah it's a double edged sword - it presents challenges for enterprise data warehouse but it also provides some capabilities that would be difficult if not impossible to implement and get those for free.
Taking example of join operation, can you give us insights into Vortex architecture?
As part of the platform we have built, we also have a visual workbench to figure out the data flow to take data into the Hadoop environment. It also gives a lot of capabilities around analytics. It is a simple point and click workbench that you drag some nodes on the screen and can build rich data science applications. The box number 1 on the figure is the visual workbench. The first thing we are doing here is reading data from Hadoop, maybe it's log file or smart meter data or something like that. If we follow this read it connects to our high-performance ingest, prep and load that's running on the name node in the cluster. That parallelizes read of source data - so we have these 4 green cylinders on the data nodes and that's just a data file that we're reading using data flow - read all parts in parallel and read that up into the name node in the cluster. Maybe at this point we may want to do some analytics and data science. We may want to do some ingest, prep and load as well and that's the scenario we're going to talk now because that's where our SQL on Hadoop capability comes in again.
So we've read the data in parallel using our data flow product and now decide that we want to load data in SQL in Hadoop (Vector) technology. We follow the number 2 we're connected to the database master node. We have a master worker architecture and the master node is responsible for preparing the query execution plan and then dividing up the workload to all of the data nodes that are participating in solving the query. The database that's running on the master node generates the query execution plan and if you follow the blue line on the diagram that will then connect to what we call the X100 server. We call it X 100 because we believe it to be a hundred times faster than anything else out there and that's been heart of SQL on Hadoop solution that runs on data nodes. This X100 server will write data to disk so we look at the Blue cylinders here and we are right to blue blocks on disk. We can run that X 100 server on a subset of the nodes and when you install the product you decide which data nodes are going to be participating in your workers set. I mentioned already that you can grow and shrink this depending upon your business requirement.
In this case we're writing with data out to 4 nodes and so we have got here 4 blue cylinders that are used to illustrate 4 partitions we are writing to. You will see written underneath here then is the block replica and these grey cylinders represent the fact that these four blocks are going to be replicated three times. For simplicity sake we want to join all of the data that is in Data Vector A with the Data Vector B. Rather than having to pull all of the data from Data Vector B over to node where the Data Vector A lives, we actually have a replica of that block that is local to us. That replica of B is right there and we are able to join with the data in there. HDFS has already guaranteed that's an exact replica of the data that is held in Vector B and we are able to join with and remove the need to communicate between the nodes.
We are talking of big data and each of these tables could represent billions or hundreds of billions of rows of data. We want to avoid having to move data around the cluster if at all possible. Using the block replicas to perform these joins is something that really yields great performance results. When we showed you earlier that slide where we compared performance with Impala, that's one of the reasons. If you look again to slide for queries that are over 30 times faster than Impala, and Impala spends a lot of time data moving data around between nodes. We can out-perform them because of other architectural benefits that we have but not having to move data around for complex joins is something that is bringing benefits in complex queries.
When you create the tables and you define your primary key foreign key relationships between the table, we use that as a hint as to partitioning the data and building up the location of the block replicas - for figuring out where we want to locate those replica so that we can benefit from a performance perspective. And the other thing that influences placement for the block replica is making sure that should we lose a node in the environment, our performance doesn't drop off the cliff. The loss of one node will impact performance because you're dealing with 3 nodes instead of 4 and you expect performance to be impacted in that scenario by 25 percent. You don't want all joins that you do subsequently to be remote joins and that comes in play also to determine how you place replicas. That's how we perform the joins.
If we look to architecture diagram and that 4th number that's there in Black is the standard SQL applications on BI tools that can just connect directly to the master node and you don't need to make any changes to the those applications. Without changing a line of code we can provide a scalable solution. We have customers that were previously on our Vector solution and they've moved now to Vector in Hadoop and they are seeing better than linear scalability. For our customers not having to make any changes to application and get a linear scalability is very exciting.
Is metadata for Vortex available to any other agents outside Vortex?
Today, you can access metadata through JDBC/ODBC and some of the APIs but it is not available as part of HCatalog. In the release which is coming up in the first quarter of 2016, we will actually be using HCatalog for storing our metadata. That will be externally accessible by more than just the standard database API. As part of that release, we will also be adding external table support and that will enable you to take any other data source and just register it as a table within the database. We will be able to join data that's held in the Actian SQL in Hadoop solution with any other data in the environment. Let's say you want to join our data with parquet data, you would need to actually load the parquet data in the environment using the Data Flow solution. But in the release that we have coming out in the first quarter of next year you can leave that data in Parquet. We prefer that you import the data into our solution because performance is a lot greater but what we do recognize a lot of people have standardized on parquet for data storage. (So we will provide) the ability to register those parquet file as tables within the database and then just treat them as Vector table.
How does Vortex support window functions and subqueries?
We have full sub querying and window function support - we have cube, roll-up, grouping set - all of the advanced analytics capabilities that are called out in the SQL language spec and have been incorporated within the product. They have been there for a number of years.
The Vector on Hadoop technology began life as a product Vector off Hadoop almost a decade ago and has been around for some time. It is an analytics engine but you know people take off the shelf tools like Cognos, MicroStrategy, Informatica, Tableau and so on and run it against the database. They have requirements like window framing, multiple window functions, grouping sets and so on - all of those are built into the product. The SQL language committee does not call out a specific analytic language set per se. So it is not like there's you can say "Oh! look, I'm SQL 2015 analytic compliant" because it's not the way the language is defined. But we do have all the analytics capabilities that are described by both the ANSI and the ISO SQL committees.
Is Vortex truly open source or is it just the API that is open?
Vortex is not open source but we are in the process of publishing a set of libraries that will enable other products to access data that's been written to disk by Vector. They don't need to go through the Vector engine to access the data. Projects that could benefit from storing data in Vector format can use that but also products that want to read data directly without having to go through Vector can do so. This is something that was raised by a couple of our early prospects where they didn't want to be tied into a proprietary solution on Hadoop. We did not want to open source Vector on Hadoop because what we do is quite unique. There's a lot of IP in there that we don't want to disclose at this point in time. We do want people to be able to store data in our format and read and write data to our file format. We're publishing a set of API that will enable people to do that without buying or using the product.
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The SQL on Hadoop capability is turning out to be a real game changer for data warehouse and Hadoop vendors. To get a sense of what is happening in this intriguing space, Sachin Ghai talked to Emma McGrattan about SQL on Hadoop solutions. Emma is the Senior Vice President for Engineering at Actian and has the responsibility for analytics platform. In this 2 part interview published on HadoopSphere, Sachin asked Emma questions about the generic SQL on Hadoop ecosystem and got further technical insights into market space and technical architecture. Read more to understand about SQL on Hadoop solutions (or SQL 'in' Hadoop as Actian likes to term it).
What is the state of Hadoop ecosystem at this time? Where does it seem to be heading particularly with regards to SQL on Hadoop solutions?
If I could point you to SQL in Hadoop landscape (graphical image), that is a good slide to use to explain where we see landscape today and what we see as the future plans for some of the competitors in the space and how we position ourselves here. First off, if you look at the slide at the axis we use, the Y axis here is the product maturity. People have expectations when they are running SQL solutions and these are expectations that they've built up over the past decades because of experience with traditional enterprise data warehouse technologies and traditional relational database technologies. And so when you're dealing with the SQL language, there is an assumption that there's going to be the full language support and you're going to have the ability to run transactions.
|SQL in Hadoop landscape as per Actian
Let's say take a very simple transaction such as transferring $100 for my checking account to my savings account I don't want to debit the checking account unless I know the savings account can be credited by that $100. So the idea of a transaction is something that's fundamental to people using databases and the ability to roll those back. Let's say I have made a mistake and I can't actually update my savings account, I will be able to roll back that transaction. These are ideas that people have that a database should provide and the SQL in Hadoop players because of their lack of maturity they don't have all of these features.
On the maturity axis here we're looking at things like the language support capabilities and the security features that they provide their performance. So we look at this first circle that we've got on the graph here. We've got the traditional enterprise data warehouse players - so this is Teradata, Oracle, SQL Server 2012 and its Vertica. What these guys are doing they're trying to protect the revenue that they get from traditional enterprise data warehouses. These are public companies and have shareholders whose interests need to be protected. So they need to protect their revenue streams and what these guys are typically doing is they're continuing to push the enterprise data warehouse for the analytics needs. What they're doing is recognizing the fact that people are storing new data types and new data sources in Hadoop. So they provide connectors through to the Hadoop environment and which is why in the red title for this box, I have called them "connections". What they do is they connect to data in Hadoop and they pull that data from Hadoop into the traditional enterprise data warehouse and they allow you to operate on it. So these guys are really not in Hadoop and they provide connections through to Hadoop data source and I believe that they provide a lot of the capabilities that one will expect in enterprise data warehouse.
The next circle on here is "wrapped legacy" circle. These companies have taken a traditional relational database technology from the open source world - typically it's a Postgres although in the case of Splice Machine it's Apache Derby. What they've done is they're using the SQL capability of these and all of the capabilities that these legacy database solutions provide and then they are converting SQL statements in MapReduce jobs or finding some way of executing those queries on data resident in Hadoop. In terms of their maturity, they have a lot of capabilities because they've taken mature database technologies. But some of the capabilities that one would expect in terms of performance and scalability - they don't have that because under the underlying capabilities that they take from Hadoop such as MapReduce, just don't perform. They inherit capabilities that lack performance from underlying Hadoop capabilities.
And third circle in here this green circle table what we label as "from scratch" players and this is the likes of Cloudera Impala, Hortonworks Hive or the IBM Big Insights. What these guys have done is they have built a solution from scratch specifically for Hadoop. They're not cannibalizing any other technologies. They started out with a clean sheet and they're looking to build capabilities that are native to Hadoop. So in terms of the X-axis here, they are very well integrated with Hadoop. But because they're being built from scratch, they're lacking all of the material that one expects from SQL on Hadoop solutions. Security is something that they're kind of bolting on up to the fact; performances is very poor and then they are missing some capabilities like the ability to perform updates. So if you want to have an individual record within a dataset updated these guys have really struggled how best to do that. For those solutions that have figured out how to do updates, they sacrifice performance on the rest of the queries - so that's something that you really lacking in terms of database maturity. But they're very tightly integrated with Hadoop.
What we see as unique about what we do in our own separate circle on the graph is that we've got all of the capabilities that one expects in the traditional enterprise data warehouse. We've got the performance that one expects a traditional enterprise data warehouse and in fact we can outperform the traditional enterprise data warehouse even though we are on Hadoop. We're also very tightly integrated with Hadoop; we use HDFS for file storage and we use YARN for scheduling and failover capabilities and so on. We're very integrated with the Hadoop system but we are able to provide the capabilities that one often has to sacrifice when looking at a SQL on Hadoop solution. Specifically, security is something that a lot of these SQL on Hadoop solutions are lacking and specifically around the ability to update individual records - the capability that's known in the database word as 'trickle updates'. Bulk update is something that everybody can do but the ability to update individual records something that's difficult in Hadoop. The reason it's difficult is that the HDFS file system was designed so that you write data to the file system once and you only ever read it after that. HDFS as a file system wasn't designed for people to be frequently updating the records in there. It just wasn't the design point that they started with and that's why Cloudera is now looking at Kudu. So that they're looking at a completely different implementation because they just can't get HDFS to provide the capabilities that they need.
Now we at Actian have figured out how to do this and we have a patent pending on the capability to do it. Essentially we keep track of changes and we keep track of the positions of data that's changed in the environment in the memory overlay structure. When you reference data that has been updated, we reference this overlay structure and we are able to figure out if the data that you need has changed. As you query the data, you will get the updated value of the result that is passed back to you. Now I can't go into too much detail as to exactly how we've done this because I say a patent is pending and we do believe when we look at what Cloudera is doing in Kudu, they have borrowed a number of the ideas - because up until now we have been talking about this publicly and the Cloudera guys have learned a lot from development work and research work that we have done at Actian.
And that's how we see the landscape - provide all of the capabilities on the maturity that one expects from the traditional enterprise data warehouse. We are also very tightly integrated with Hadoop using all of the Hadoop projects that can benefit an enterprise data warehouse like the file system and like YARN resource negotiation.
One of the key trends that is emerging is that most of the SQL on Hadoop solutions are beginning to support ACID transactions and in fact Hive has started supporting ACID transactions in 0.14 release. But most of these solutions are still of OLAP nature. Do you see these solutions moving towards OLTP support or is that still a pipe dream?
Splice machine today supports OLTP and that's their target right now. They don't do analytics so much as they do OLTP and when they talk about their performance they used the TPCC benchmark which is a well-known OLTP benchmark to demonstrate their capabilities. I think the challenge that all of the players have in supporting the OLTP workload is the fact that the underlying filesystem just was not designed for it. There's a couple of things that get in the way: obviously if it's not designed for supporting random updates to the data and then taking a very heavy update intensive workload to file system is going to be a nightmare for disaster. That requires capabilities like we've had to implement whereby you actually keep track of all of the changes in memory and you have a Write Ahead Log file because you need that consistency that ACID guarantees. Should you lose power in your data center and the cluster disappears you want to make sure that any of the transactions that were committed at that point in time can be recovered during the cold start recovery process. I think projects like Kudu will help but I think there's a fundamental problem with the underlying distributed file system in Hadoop that is causing a real challenge for bringing OLTP workloads to Hadoop.
Another key question which most customers come up is that how difficult or easy is it for them to migrate the legacy SQL and ETL workloads they were running in the traditional warehouse to the big data warehouse. What has been your experience in getting those SQL workloads migrated to the big data clusters?
When I talk about the guys that are lower on the SQL maturity scale, two things that they're missing. One is the full SQL language support so they will have a very limited subset of SQL language implemented and that is a problem when taking existing workloads to Hadoop. The reason for that is that traditional workloads most times use off-the-shelf tools for generating reports and dashboards and so on. You don't have control over exactly what syntax is going to be produced by those tools - so that you cannot then work around deficiencies in their SQL implementations. That's the first challenge they face and they're trying to round out their SQL language support. The 'from scratch' and 'the wrapped legacy' players don't have a complete language implementation. For the 'from scratch' guys, it's just because they haven't had the time to complete it yet and for 'the wrapped legacy' guys it's because the underlying capabilities that they're depending upon don't provide everything. So you know it may be that they're taking SQL and then converting to MapReduce jobs - so they don't get the full capabilities that one needs for supporting these traditional workloads.
The second challenge that these 'from scratch' players is that their query optimizers are very immature. If you look at Hive or Cloudera and look at how they optimize queries. They don't have the smarts to figure out what's the best order in which the tables were you referencing multiple tables within a query. To work around that limitation, what they do is that they require that you list the tables in the order which you want them joined. As you write the SQL as an application developer, you need to know which is going to be the most efficient join order of the tables and you need to code that in query. As I said earlier, traditional workloads used tools like Business Objects, Tableau and any visualization technology. You don't have control over SQL that they're generating and so you don't have control over things like join orders. That's a real challenge and when we look at the 'from scratch' players and the 'wrapped legacy' players they really struggle to take traditional enterprise data warehouse workloads to Hadoop using those technologies.
With the Actian solution, we have the complete SQL language implementation and we also have invested many decades in optimization technologies. What we were able to do is to take our Cost Based Query Optimizer to Hadoop and modify it for some of the unique scenario that one encounters in Hadoop. We can outperform the competition on Hadoop by quite a margin if you look (at the performance benchmark diagram). You'll see here is that when we compare our performance with that of Impala and if you read this graph correctly it's a little confusing. What we did was we took a workload that the Impala team used to demonstrate their superiority over Hive. They ran these queries and said that they were 100 times faster over Hive. What we did was we ran them against the Actian SQL in Hadoop and we show for instance for first query, we are 30 times faster than Impala.
We can outperform these guys by quite a margin because we know how to solve complex queries and we also can take a standard EDW workload and deploy it on Hadoop without having to change anything. We have some very large customers and that were previously off Hadoop with our Vector technology. We moved them to Vector on Hadoop and without changing anything except the connection string where they pointed to the database they were able to run their enterprise data warehouse workload against SQL in Hadoop solution. Being able to do that for a customer is very exciting, it's very empowering and for us it means certifying the latest versions of Cognos or Informatica or whatever it may be. We certify them as part of our standard QA process and we know that any customer that's using any official tool for EDW today can move their workload to our SQL in Hadoop solution without having to compromise performance or functionality or security.
That's pretty interesting and these benchmarks are often talking points since they hide more than they show.
That is a good thing that you raised...You'll see that the SQL that we use in Vector is a standard SQL. These benchmarks typically what they are measuring is the performance at the database engine - so they usually will restrict to 100 rows that come back from the query. Those top 100 rows from three tables that we're going to join and then we've got some join conditions here and some group by and order by. If you look at... the Impala equivalent in their benchmark capability, what they actually do is they specify the partition keys that are used for solving this query. They have completely cheated in this benchmark. They know exactly where on disk the rows that are gonna satisfy the query lie and they point exactly to those rows. But even with them playing that trick, we will outperform them by thirty times.
The benchmarks are not something that I would trust unless they came from a party like TPC and they are audited benchmarks. In this particular case that we call as the Impala subset of TPC-DS they identified the queries where they were going to out-perform Hive, they rewrote them because they have limited SQL support and then they added the partition keys. So it's a game - they cheated and I call them on their cheating when I use this presentation publicly because I think it's wrong.
Everybody is playing games with these benchmarks and we can use them to demonstrate whatever you chose. But for us we're using standard SQL. We have clean hands in this and we also plan something for the first half of next year to publish some audited benchmark results. We're not running the TPC-DS because that benchmark is under review with TPC Council right now and it looks like they're going to deprecate it replacing it with something for Hadoop. We are going to take more traditional workload TPC-H benchmark and we are going to publish numbers in first half of next year and these will be audited benchmark numbers for TPC-H benchmark on Hadoop. We will be the first database vendor to publish audited TPC benchmarks for Hadoop. We are very excited by this because our performance is going to be, I hope, an order of magnitude greater than traditional enterprise data warehouse players. We expect to beat Teradata, Oracle, SQL Server and Vertica by an order of magnitude which is huge when you are dealing with Hadoop which is known as commodity workhorse platform but is not known for performance.
Continue reading: Actian Vortex SQL in Hadoop deep dive >>
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Apache Spark is the hottest technology around in big data. It has the most generous contributions from the open source community. But with the latest release of Apache Spark 1.6, there is clearly a pattern evolving in where it is heading. And, currently that road seems to be an API haven. (Note, the term being used here is haven and not heaven).
Spark innovations in 2015
March 2015: Spark 1.3 released.
DataFrames introduced: SchemaRDD renamed and further innovated to give rise to DataFrames. DataFrames are not just RDDs with schema but have a huge army of useful operations that could be invoked with an exhaustive API.
For some strange reason, DataFrames were decided to be more of relational nature only and so were pitched directly along with Spark SQL. A developer could use either DataFrame API or could use SQL to query relational form data which could be residing in tables or any Spark supported data source (like Parquet, JSON etc.).
Nov 2015: Spark 1.6 released.
Datasets introduced: specialized DataFrames which can operate on specific JVM object type and not just rows. Essentially Dataset uses a logical plan created by Catalyst, the algorithmic engine behind Spark SQL/DataFrame and thus can do a lot of logical operations like sorting and shuffling. In a future release, you can expect DataFrames API to change and extend Dataset.
Nutshell, Datasets are more intelligent objects compared to vanilla RDDs and if you might have guessed it, could be the future pinning of Spark API.
Is it time to say "bye bye RDD, welcome Dataset"?
Is it time to say "bye bye RDD, welcome Dataset"?
Happy or Upset with new Spark release?
Are you sounding relieved or almost upset with new Spark release– could depend on what stage are you in Spark journey.
For an indicative sample, answer could depend on what you doing.
You could be upset if:
- You have already been using Spark API and more or less re-settled yourself on Spark 1.3.x being distributed with CDH, HDP and MapR.
- You were wishing for a more powerful and SQL-rich Spark SQL but instead see focus shifting from SQL to programming API.
- You were wishing for a tighter integration between SQL and ML rather than DataFrames API and ML Pipelines API.
You could be delighted if:
- You are a devout Cloudera Impala or Hive fan and loved their performance! You always wanted to stick with these rather than Spark SQL offering more performant in-memory analytical power.
- You were a Storm and Mahout fan and were looking for ways to avoid shifting to Spark! You now know that coding in Spark may not be that cake-walk as it was promised to be since there are frequent API changes and over-reliance on experimental API for exposing functions in the promised unified platform.
- You were building your stealth next top big data product and were suddenly delighted to figure out that it's difficult for users to remain settled in competing Spark! What was relevant in Spark around 6 months back may require re-factoring/re-engineering now.
Overall, the request to the brilliant and brave Spark core committers is to have a rethink and start loving the world outside programming API. Spark has been given the official throne of big data execution engine. So, it now needs to settle out on the surface while it keeps to continuously innovate under the covers. Spark is no longer 'experimental' and the term needs to move out of its documentation and strategy. It has to be hardened, enterprise grade and long serving to the end user. That's the only way for Spark to keep shining.
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- Report: #162901
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Complaint Review: Andy Gold - Bingo101 - getpaidtotry.com
Andy Gold - Bingo101 - getpaidtotry.com2207 East 29th Street Brooklyn, New York U.S.A.
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Today is 11/01/05 and I still haven't received any money for this from getpaidtotry.com.
I sent them several emails about this and finally on 10/09/05 Andy responded telling me if I would send them a receipt showing that I deposited the $25 they would pay me. Well I have sent the receipt several times and I have not heard another word from him.
This is a statement Andy had in one of the emails: We would like to prove that we pay our members! How can we do that? Simple! Try as many offers as you like below and we guarantee you payment within 48 hours via PayPal!
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During a heat wave, most of us aren't thinking about turning on our ovens and baking up a couple of batches of cookies. That prospect is not nearly as appealing as it is during the winter, when the idea of working in front of a warm oven sounds very appealing. In the summer, we want air conditioning, refreshment and, most importantly, nothing that will make ... Read More »
Tag Archives: tomato
Chocolate Spice Tomato Soup Cupcakes
Although it sounds like it uses a strange combination of ingredients, my Tomato Soup Cake is a big hit every time that I make it. The moist, spicy cake is an old recipe and is very flavorful. You would never guess that it calls for condensed tomato soup in the recipe – most people just ask for seconds! I usually make the recipe as a ... Read More »
Tomato Juice Cake
Some of my favorite cookbooks are not slick hardbound volumes full of colorful photos. Some of them are old, well-used booklets of simple recipes that were put together decades ago for church and school groups with recipes from neighborhood mothers and wives. The colorful books are still wonderful, of course, but there is nothing like seeing some of the recipes that were popular – for ... Read More »
When I think of gazpacho, I think of a sort of cold tomato soup that features lots of fresh tomatoes and other vegetables. I don't think about one specific soup because there are many types of gazpacho out there, from sweet to spicy, from chunky to smooth. Salmorejo is one type of gazpacho that is well known in the Andalucia region of Spain, specifically in ... Read More »
Roasted Tomatoes with Olive Oil
I want to have a fancy name for this dish, but I just can't bring myself to call it anything other than what it is: roasted tomatoes with olive oil. I make this all the time with fresh tomatoes in the summer and it is one of the easiest and best ways to enjoy fresh tomatoes – apart from simply slicing them and eating them ... Read More »
Frittata di Spaghetti
I always make too much spaghetti when I cook it for dinner. In fact, I always make too much pasta of any shape. In an effort to control the problem, I used to try and measure out how much pasta I was using with a scale or a measuring cup, but since I inevitably ended up throwing an extra handful or two into the pot ... Read More »
Cherry Tomato Clafoutis
Now that my tomatoes are starting to ripen left and right, I'm starting to look for more uses for them than just adding them to salads and making pasta sauces. And because I know that I haven't even hit the peak of tomato season yet, I prefer that the recipes I end up with use more than just two or three tomatoes each. This recipe ... Read More »
Parmesan Tomato Tart
In the summer, as tomato season reaches its peak, my kitchen frequently overflows with perfectly ripe specimins. They are mostly red, with a few oranges, yellows, purples and stripes thrown in for variety. Many are heirloom varieties, all are organic, and each and every one is absolutely delicious. There are lots of things you can do with a kitchen full of tomatoes. Gazpacho , bruschetta ... Read More »


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NATCHITOCHES – The combined talents of the Mrs. H.D. Dear Sr. and Alice E. Dear School of Creative and Performing … Read More →
Holiday Grief Workshop at CHRISTUS Cabrini Hospice
CHRISTUS Cabrini Hospice is holding a Holiday Grief Workshop to help people cope with grief during the holidays. The event … Read More →
Rapides Regional Events – Dec. 2013
Dec. 5: LOPA Tree of Life ceremony, 10 a.m., Rapides Regional Medical Center South Tower Lobby. Rapides Regional Medical Center … Read More →
Co-Lin Sleep Out Planned to Raise Homelessness Awareness
NATCHEZ – On Friday, November 15, Co-Lin Natchez will host the first annual Sleep Out to bring awareness to the … Read More →
Cultural Cuisine and Potluck Dinner
Call for Cooks to help celebrate International Education Week With the second annual Cultural Cuisine (& Potluck dinner) November 20, … Read More →
Natchitoches to "Turn on the Holidays" November 23, 2013
NATCHITOCHES – The City of Natchitoches will kick off the holiday season on Saturday, November 23, 2013 at Turn on … Read More →
Caddofest 2013 comes to the NSU Campus
UPDATE (11/19/13) – NATCHITOCHES – CaddoFest 2013, a combination music festival, pep rally and tailgate party at Northwestern State University, … Read More →
87th Annual Natchitoches Christmas Festival December 7
NATCHITOCHES – The 87th Annual Natchitoches Christmas Festival will take place Saturday, December 7 in downtown Natchitoches. The Natchitoches Historic … Read More →
87th Annual Natchitoches Christmas Festival Armbands On Sale Now
NATCHITOCHES – Armbands for the 87th Annual Natchitoches Christmas Festival to be held Saturday, December 7 are now on sale … Read More →
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MARKSVILLE, LA – In keeping with its mission of supporting community organizations, Paragon Casino Resort is kicking off the holiday … Read More →


text:
Category:Kölling, Carl
Free public domain sheet music from IMSLP / Petrucci Music Library
Carl Kölling(28 February 1831 — 3 May 1914)
→Table of Contents: Top - A B C D E F G H I J K L M N O P Q R S T U V W X Y Z - Chart
xShow works by type/instrument
=Alternative Names/Transliterations: Chas. Kölling, Karl W.P. Koelling
External links
- Detailed biography: Wikipedia
- Recordings: None given
See also
Compositions (5)
Compositions by: Kölling, Carl
The following 5 pages are in this category, out of 5 total.
Collections (1)
Collections with: Kölling, Carl
This category contains only the following page.
As Arranger (1)
Arrangements by: Kölling, Carl
This category contains only the following page.


text:
As the regular season draws closer, one big name free agent is still sitting on the open market, defensive end Greg Hardy. Despite his struggles, which include lackluster play during his one season in Dallas and his continued misbehavior on and off the field, which he has been in counseling to deal with, Hardy is still a 28-year old with 40 sacks in his career (27 of which came in his last two full seasons) in a pass happy league that craves pass rushers.
Despite that, the Cowboys let him walk, the Redskins decided not to take a flier on him after another season-ending injury to linebacker Junior Gallette and there hasn't been much of a market for him to this point. While things can certainly change in a hurry thanks to injuries or teams seeing that their current crop of sack artists don't quite live up to the hype, there are three spots right now that make sense for Hardy and his potential suitor.
First up are the Jacksonville Jaguars. Despite having a defensive-minded coach in Gus Bradley, the Jaguars only mustered 36 sacks last season (ranked 20th in the league). It's true that last year's first round pick Dante Fowler is back from injury, but if he isn't 100 percent or gets injured again, the Jags will be in need of help off the edge. They've already had Hardy in for a fact finding workout, but they don't have immediate plans to sign him. The Jags have an offense poised to score a lot of points, but they need to be able to stop teams too. With their sack numbers seemingly tied to the health of Fowler, Hardy makes sense here.
Next up are the Buffalo Bills, whose putrid sack total of 21 ranked them 31st in the league. Head Coach Rex Ryan and his brother, Defensive Coordinator Rob Ryan, certainly wouldn't shy away from a controversial player, especially if they thought he could help. After all, Ik Enemkpali was signed by the Bills after he was released by the Jets following his cold-cocking of Geno Smith. The Bills are also dealing with key injuries to top draft picks Shaq Lawson and Reggie Ragland, further weakening an already suspect defense. Looking at the team on paper, Hardy's potential for disrupting offensive backfields is sorely needed in Buffalo.
Finally, you have a team that is always a dark horse candidate, but really shouldn't be with their history of taking fliers on players others thought were washed up physically or mentally; the New England Patriots. It usually doesn't matter who they bring into the fold, with the way the team is run, everyone on the roster ends up doing things the "Patriot Way" very successfully. Randy Moss was seemingly done after two sub-par years in Oakland, but then came to the Patriots in 2007 and caught 98 passes for almost 1,500 yards and 23 touchdowns. Corey Dillon wore out his welcome in Cincinnati, but came to the Patriots in 2004, rushing for almost 1,700 yards and 12 touchdowns. While the Patriots 49 sacks last year were second best in the league, 12.5 of those were traded to the Arizona Cardinals in the form of Chandler Jones. With nobody else in double digits, the Pats could find a spot for Hardy.
While it may take some time, the NFL is a league of many second chances (if you can still play) and Hardy is likely to get his.
The intent of new injury reporting rules is to provide clarity. Instead, the changes are likely to provoke more confusion. If the NFL wanted to make injury reporting more transparent, the new system is likely to have the opposite effect and cloud the issue.
Previously, injury reporting was broken up into "Probable", "Questionable" and "Doubtful". These words essentially corresponded with "75%", "50%" and "25%". Now the "Probable" category has been removed and "Questionable" and "Doubtful" has been redefined. It is like changing a traditional "A, B and C" grading system to "pass and low pass". There is less delineation of injury grades.
Instead of 50-50, "Questionable" will now mean "uncertain whether the player will play". "Doubtful" now means it is "unlikely the player will participate". "Out" still means the player will not play as that designation does not change.
For practice designations, "Out" will no longer be used. The practice categories of the new policy make sense. "Full", "Limited" and "Did not participate" are easy to understand practice designations.
Certainly the new definitions make injury designations more vague. As it is, only the body part and status is listed. No side or specific diagnosis is required. Now the status becomes murkier with the removal of a category.
Essentially, the old probable and questionable categories are now combined into one. It seems to me the new system will have teams listing anyone in doubt to be questionable. The new rule explicitly states "if there is any question concerning a players availability for the game, he should be listed as 'Questionable'". Now anyone with a 50-50 chance of playing is lumped with someone who is 99% certain to play.
Teams will be incentivized to liberally use "Questionable" as anyone not listed who doesn't play puts a club at risk for possible discipline. The move to list more players as "Questionable" was already happening. Now the rules justify it even more often.
A new cottage industry will be created. Information on the "questionable" players will be at even more of a premium. The 90-minute inactive list release will take on higher importance. Perhaps the real motivation of this is to create ratings for the pregame shows.
As a fan, I am not in love with the new changes, which provide less specific information. On the other hand, as an injury analyst, I think this is going to be good for my twitter handle as fans, fantasy players and gamblers seek more specific information on their own.
MMMD 1: ACL tears continue at high rate
There are 17 ACL ruptures to date this league season. Torn ACLs through all of preseason 2015, 2014 and 2013 were 25, 22 and 31. With week 2 preseason games just concluded, the league is on track to hit the average in the mid 20s.
The new CBA limited contact has not lowered ACL tears since it is primarily a non-contact injury. With the high tempo of practices, one can argue that introduces more high-speed cutting activity, which puts ACLs at risk.
MMMD 2: Dion Lewis 2nd surgery
The Patriots running back recovering from a torn ACL was rumored to be coming of PUP soon. Instead, he had additional surgery.
The only good news is that the procedure is not directly related to the ACL, but instead is a "cleanup". Having follow up surgery after an ACL is not uncommon and is usually related to associated scar tissue, meniscus tears or articular cartilage damage.
Lewis is eligible for Reserve/PUP come the regular season since the team placed him on Active/PUP at the start of training camp despite practicing in June. At least the early news is the set back does not involve an ACL re-tear and there is a good chance to return later this season.
MMMD 3: Alex Okafor decides to play without surgery
The Cardinals linebacker had previously torn his distal biceps tendon and had surgery which cost him the season. Now in a contract year, Okafor will try and avoid surgery and play through the injury.
Typically, proximal biceps tendon tears near the shoulder do not need to be fixed, but ruptures distally near the elbow do. Okafor has experienced the surgical route before, I hope the non-surgical option goes well for him.
MMMD 3: What headaches?
Ladarius Green denied headaches have been keeping him from practice and insisted it was his ankle injury. Last week, we discussed the Steelers only big free agent signing and the controversy.
Despite being reported to be in the concussion protocol, Green now denies the headaches. Medical personnel cannot come out and clarify the truth due to HIPAA privacy laws so we will just have to wait and see what happens.
MMMD 4: J.J. Watt uncertain for first two games
Texans head coach Bill O'Brien acknowledged that Watt may miss the first two games of the season. This would break his perfect streak of never missing a game in his NFL career.
When he first had back surgery, I indicated the procedure was relatively simple, but the rehab was difficult. The disc is about five inches deep in the back and that means a deep dissection through core muscles making for a long recovery. I hope the defensive player of the year can come back to form quickly.
MMMD 5: Preseason injury rundown
Jamaal Charles is off PUP and practicing. I am expecting a productive year as he ran for a career high 1506 yards coming off his previous ACL surgery.
Jordy Nelson is back practicing after a stint on PUP for the presumed patellar tendonitis in the other non-ACL knee. Packers may have been smart to get this better to avoid a nagging injury.
Steve Smith, Sr. is off PUP and soon starting practice for his 16th NFL season. Normally, Achilles ruptures can end careers for a wide receiver in his thirties, but not for this 37 year-old.
Larry Fitzgerald is already back practicing after a mild MCL sprain. Seems his missing time was truly a preseason precaution.
Tyrann Matthieu is off PUP and practicing. He overcame a previous multi-ligament knee injury, so this isolated ACL should be easy for him to overcome.
Matt Jones was said to have a "slight" AC joint sprain. Normally this is a 0-2 week injury if mild. Caution, he did leave the stadium with a sling which is not always needed for low grade shoulder separations.
Breshad Perriman feels like déjà vu. Last season a PCL injury teased fans for a return that never happened. This year a "partial" ACL is the culprit and as of yet no timetable for return.
MMMD 6: Texans permanently switch to artificial grass
There have been many complaints about the seams in the natural grass due to pallets in Houston. Now it has been decided to permanently switch to artificial surface and this presumably includes for Super Bowl LI.
Interesting that the switch was made for safety. Typically, grass fields are safer than field turf. Although, the new sport grass is clearly better than the old astroturf for injury. In this case, it wasn't the surface of the natural grass that was the problem, it was the connections of the patchwork field that caused issues.
MMMD 7: ProFootballDoc scorecard
We haven't tallied right or wrong in awhile. Soon we will have plenty of access to video with the regular season. In the meantime, previous predictions about Jordy Nelson and Julio Jones minor injuries were correct. Add in Watt likely missing time and Lewis' knee scope not related to ACL. This takes the previous record from 16-0 to 20-0.
Jameis Winston and Marcus Mariota will be forever linked. These two met in the very first College Football Playoff Game at the Rose Bowl. They came into the game carrying the last two Heisman Trophies and the previous year's National Championship. The first half of the game was really good, but the second half was Mariota and his Oregon Ducks running up a huge score on Jameis and his Florida State Seminoles.
They met again in their first NFL game after both were selected with the first two picks in the NFL Draft; Winston #1 by the Tampa Bay Bucs and Marcus #2 by the Tennessee Titans. Different uniforms, different leagues, both getting a hefty pay check, but similar results as Mariota again lit up Winston's team.
It looked as if the Titans were geniuses at the time, but by season's end, it looked as if the Bucs may have gotten the better quarterback. Winston had the Bucs to 6-6 at one point, thinking they might have a shot at the playoffs. The "P" word was never uttered in Nashville though as Mariota ended up going 3-9.
However, upon further review, Marcus had some really good stats. He passed for 19 touchdowns compared to only 10 interceptions and had a quarterback rating of 91.0. If he keeps that QBR over 90, he will be very successful and so will the Titans.
Winston was also very good, especially for a rookie. He threw for 22 touchdowns and 15 interceptions and his QBR was 84.2. Not too shabby.
So what will happen in their second year? You've heard of the "Sophomore Jinx" of course. There is a reason for that. Many times, that second season can be tough. Defensive coordinators have film on you now, and you now have expectations you that were not there in your rookie season.
But, these guys have dealt with a lot of pressure for several years now. College football, especially at the top of the sport, is every bit the pressure cooker the NFL is. And there was no shortage of film from college ball for the defensive coordinators to check out.
It seems evident that the second year will only get better for these two young talents. Both Winston and Mariota seem to grasp their offenses very well, and can also read defenses. This is seen when you notice the low number of interceptions each threw. They should only get better in this area the more they play.
They also both have fantastic leadership qualities. Even as rookies, it was clear that they were the voice of their respective teams. Neither shied away from the press even after things did not always go well. These are not easy things to do as a rookie.
The Bucs schedule includes the Arizona Cardinals, Broncos, Bears, Chiefs, and Chargers as well as the six NFC South teams. While Tennessee has the Dolphins, Chargers, Packers, Vikings, Lions and Bears as well as the Raiders, Browns and their six games against the AFC South.
Both of those schedules have some land mines, but both could be a lot tougher. Both of these teams should go into the season with playoff aspirations. Will both make it? Probably not. Of the two, the Bucs have the best chance, but making the playoffs for any team in the highly competitive NFL is never an easy task.
Whenever something goes wrong, the blame game is started. We look for whom to blame with the league concussion issues. When injuries pop up, the same thing often happens.
The New York Giants medical staff has taken some heat over the years for leading the league in injuries. Now the Buffalo Bills and Pittsburgh Steelers medical staffs are being questioned.
It would be entirely unfair to place blame on anyone without a thorough analysis of the particular injuries. Certainly the Bills defense has taken four hits already this year, but are they the fault of the medical staff?
Indeed Buffalo's first and second round draft picks have been injured. Shaq Lawson aggravated a pre-existing shoulder injury and had surgery. Reggie Ragland tore his ACL. IK Enemkpali has now met the same fate. Manny Lawson injured his pec, but at least his season is not over.
The medical staff doesn't cause injuries. There is some evidence of effectiveness in soccer of ACL prevention exercises in young players, but it has not been proven in football. Clearly traumatic ligament tears are not the fault of the medical staff. ACL tears are rarely partial and it was too much to hope for that Ragland's season could be saved.
We don't know the dynamics of the Bills decision to draft Shaq Lawson given his shoulder issues. In my 2016 draft medical guide, I indicated that Lawson had a labral tear and would need shoulder surgery. If this was obvious to someone who didn't examine Lawson, it is unfathomable that the Bills medical staff didn't know it. The question is what stock management placed in the medical assessment and what played into the decision to initially risk playing with the injury. In my time in the NFL, my club has drafted players with poor medical grades based on perceived value. Just because a player with medical risk was drafted high doesn't mean the team didn't know about the problem.
In Pittsburgh there are questions about Ladarius Green and his headaches. Some are asking if the Steelers bungled the $20 million free agent signing. The replacement for retired Heath Miller has yet to practice and also is coming off ankle surgery. Some fans question why the Steelers medical staff would allow Green to be signed and whether they should have been able to predict his lack of availability.
I know the Steelers to have a top quality medical staff that has been involved in the leadership of the Pro Football Athletic Trainers Society and NFL Physicians Society. There is no way they did not have access to Green's medical records as all 32 teams are on the same electronic medical records system. It is highly unlikely the medical team "missed" the ankle injury or lingering signs related to previous concussions with the Chargers.
To suggest his previous team did not properly document headaches or concussion symptoms would be extremely hard to believe. First, this was not a trade and there would be no benefit to a club to downplay medical findings. Second, the penalties for inaccurate medical records go way beyond any potential NFL fine or discipline. Falsifying, altering or purposely under reporting medical findings could result in state Medical Board action and/or civil litigation with career threatening implications for a medical provider. This is why I say the new NFL penalties for violations of medical protocol will have little affect.
Word has come out that Green reportedly never told the Steelers about his headaches when he was signed. This makes it near impossible that the medical staff is to blame. It is possible the player was not having headaches when signed or under reported symptoms to the team. To blame his previous club for allowing Green to play through headaches would be saying the independent and unaffiliated neuro consultants were in error.
Unfortunately due to HIPAA privacy laws, the team physicians involved cannot come out and tell their side of the story in New York, Buffalo or Pittsburgh. This leaves their roles up to speculation and any public accusations or implications cannot be refuted by the medical staff.
The Jaguars are poised to simultaneously add three first-round talents to their defense, but does their medical staff get any credit? Last year's first pick Dante Fowler tore his ACL early in offseason but has rehabbed well. Jalen Ramsey had a post draft injury this year with knee surgery and has made a quick recovery. Clearly the Jaguars medical staff had some input in the evaluation for top of draft talent Myles Jack and his early second round selection despite medical concerns. I don't hear any kudos coming to the Jaguars medical staff now that Fowler is back, Ramsey dodged a bullet and Jack seems to be performing well.
The blame game is one reason I started my media efforts. Most medical staffs are not allowed by their team to speak out and federal law prohibits the disclosure of private medical information. I am not here to defend anyone. I only try to provide an insider's prospective of what may be happening.
Injuries always affect teams. So far it seems the injury bug has hit the Bills defense several times, and fortune has smiled on the Jaguars defense so far. In some ways, medical staffs are like long snappers. It seems when something goes wrong they get the blame, but when it goes right, the credit is given elsewhere.
As the 2012 NFL draft approached, Alabama running back Trent Richardson was viewed as a can't miss prospect. Some said he was the best running back to come out of the college ranks in 15 years, while others were comparing him favorably to Adrian Peterson – who by then had run for more than 6,700 yards, 67 touchdowns and was about to embark on a campaign that would see him come close to breaking the single season rushing record – and why not…. in three years carrying the rock for the Tide, Richardson had amassed more than 3,000 yards rushing and scored 35 touchdowns, helping the program win two BCS National Championships.
The first two picks of the draft were quarterbacks Andrew Luck and Robert Griffin, III, who went to Indianapolis and Washington respectively. After trading four draft picks to the Minnesota Vikings to move up from the fourth pick to the third, the Cleveland Browns selected Richardson with visions of building an offense around the strong running game he would provide.
Richardson's rookie season went fairly well. He played in 15 games, rushing for 950 yards and 11 touchdowns, but a 3.6 YPC average was cause for concern. After two subpar outings in the Browns first two games of the 2013 season, they traded him to the Colts for a first-round pick, but the new surroundings didn't help. In his two years in Indy, Richardson barely managed to run for three yards per carry and was released after the 2014 season. The Oakland Raiders gave him a chance to earn a roster spot in 2015, but he could not. The Baltimore Ravens took a flier on him this offseason, but the results were the same.
So how did a can't miss prospect, with a stellar college resume go from first round pick to NFL draft bust lists? Three reasons: lack of ability in a key area for a running back, off-field distractions and injuries.
Former Browns CEO Joe Banner (who did not join the team until October 2012, meaning he was not involved in the selection of Richardson) said the Browns traded him because he lacked vision. According to Banner, the inability to see where the running lane was going to be undermined the speed and power that Richardson possessed. Understanding blocking schemes and anticipating holes were not Richardson's only problems.
As the third overall pick in 2012, Richardson received a guaranteed $20.5 million contract and then the leeches moved in. Richardson was spending thousands of dollars a week for box seats for family and friends. He would also constantly get calls from those same people asking for money to bail them out of various financial issues and it clearly weighed on him.
Finally, as is the case for many NFL players, the injury bug bit. Richardson had his knee scoped during the offseason, and even though he was in the Ravens camp, he spent the entire time on the physically unable to perform list until he was released. Despite the issues that have derailed his career, Richardson could still play in the NFL again at some point. It's not inconceivable – or unfamiliar for that matter – to imagine a good team like the Patriots or Broncos taking a chance on a guy like Richardson. Even Ravens Head Coach John Harbaugh recently said the Ravens may still have interest in him. Richardson certainly isn't giving up on himself.


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- Report: #107453
Report - Rebuttal - Arbitrate
Complaint Review: National Consumer Resource Center - NCRC
National Consumer Resource Center - NCRC3700 Coconut Creek Parkway Coconut Creek, Florida U.S.A.
National Consumer Resource Center (NCRC) Debt Management Rip-Off! Late Payments, Long Negotiations, no interest rate reduction. Coconut Creek Florida
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After a wonderful introduction to NCRC and all the wonderful things that they can do for me, they started off by telling me how evil and manipulating the credit card companies were, just to fuel anger I think. I joined the program, which initially, is supposed to take 3 months of consistent payments to enroll in the debt management program.
After about 4 to 5 months, the program was only working on 1 out of 3 credit cards that I enrolled. I contacted NCRC and they said they would perform an investigation which could take 1 to 2 months. After 3 or 4 months, nothing had changed and they were in the process of performing ANOTHER investigation. They also proceeded to tell me that it was my fault it had gotten this far because I did not monitor my statements close enough. Yeah right.
Anyway, after about 2 years on the program, only 1 card was enrolled while 2 other were severally affecting my credit rating. My initial card balances went from $4,500 to around $8,000 per card with 20% or higher interest rates and phenomenal late fees still being tacked to the cards. I cancelled the program, contacted the card companies directly and set up programs through them with 4% to 5% interest and not fees at all. After one year,the cards will be re-instated and credit repaired.
Please do not use NCRC for any of your debt management. They make the payments late, always have to "research", and never get the interest rates or payments reduced low enough and they charge a $35 per month fee that is supposed to be tax deductable, but funny enough, was not according to my CPA.
Atlanta, Georgia
This report was posted on Ripoff Report on 09/08/2004 10:59 AM and is a permanent record located here: http://www.ripoffreport.com/r/National-Consumer-Resource-Center-NCRC/Coconut-Creek-Florida-33066/National-Consumer-Resource-Center-NCRC-Debt-Management-Rip-Off-Late-Payments-Long-Nego-107453. The posting time indicated is Arizona local time. Arizona does not observe daylight savings so the post time may be Mountain or Pacific depending on the time of year.
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Today in women's history: Ding Ling, forgotten Chinese author, remembered
On this date in 1986, the writer Ding Ling, a champion of women's rights, died. Born as Jiang Bingzhi in Linli, Hunan province, China.
People's World editor Tim Wheeler to be honored
On September 9, family and friends plan to honor Baltimore's "Renaissance Man" - veteran Peoplesworld.org journalist Tim Wheeler.


text:
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Delphi access control library
This is fast and lightweight library for realisation of access control lists. Includes tree of objects, rights and contexts. Supporting extendable import/export routines. Written for Delphi 7 and later versions.


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SLP Student Staff
Spiritual Life Assistants
Hi, I'm Max Brumberg-Kraus, and I work with the Art, Body and Soul project. I was raised in a hippie-dippie Jewish household, and my spirituality is grounded in Jewish Esotericism, Kabbalah, Hermeticism, and the views of William Blake. I believe creative expression a sacred act and necessary for spiritual release. Through acts of creation we tap into the heart of what it means to be created in the image of God, and every piece of art is a continuation of Genesis. I am also the president of Interfaith Club. I love meaningful conversation, watercolors, and drag shows, so hit me up if you're interested.
Hi, I'm Amelia Diehl, and I'm a Junior. While I was raised Quaker, I converted to Unitarian Universalism in high school. This is my first year working for Spiritual Life; I'll be working on the Better Together project. I am passionate about environmental and social justice issues, and am excited to explore how spirituality and faith can connect people to work towards action in these areas, and to add to one's sense of self. I think it's very important -- and endlessly fascinating -- to remember that we are all sharing one rotating sphere in space, and that we are part of this planet and each other. I also enjoy writing, biking, drinking chai, and finding out about new indie bands.
Hi, I'm Dylan Hackler, and I'll be working with faith-based environmental activism for Spiritual Life. I was raised as and continue to be a practicing Roman Catholic, in the traditions of Social Catholics such as Saint Francis of Assisi. I believe that it is our sacred duty to live as a part of the natural world and global human community, not as exploiters and destroyers of it. We are a part of a wondrous creation. We should celebrate it! I enjoy philosophical discussions and immersive story-creation.
Office Assistants
Hello, I am Guadalupe Angeles, although I tend to go by Pita around campus. I am a junior majoring in Critical Identity Studies and Comparative Literature and it will be my first year as one of the two Office assistants for the Spiritual Life Program. Raised in a Catholic Mexican household, my experiences with faith and religion have fluctuated between positive and negative throughout my youth that temporarily distorted my view of faith and spirituality. Although I do not consider myself Christian, I have since sensed in there is something much grander in others and myself that often goes misunderstood. It was not until arriving to Beloit that I realized this experience went beyond religion, and many things of the sort, that was capable of creating a negative or positive space. This realization has encouraged me to further explore spiritual and religious identities that permeate our daily interactions on and off campus, whether with people, texts, or our natural environment. It is my personal belief that the beautiful complexities of faith offer beauty that are the mysteries of life and create spaces for the sort of conversations that are valuable to enriching ourselves beyond the spiritual level.


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Openwork Cross Stitch
Hey everyone,
I'm hoping someone can help me out. I'm working on a scarf that contains an openwork cross stitch. The instructions are below (I got the pattern from popknits.com). I'm getting confused on the third row! I don't understand what 6 stitches and how they become elongated... Any advise? Thanks in advance!
Row 1: Knit
Row 2: *K1, wrap yarn around the needle for 3 times (yo x 3), repeat from * to end of row
Row 3: *Sl 6 sts to right hand needle and let extra loops drop, so youll get six elongated stitches, then insert your left needle from the 3rd stitch to 1st stitch on the right, bring the three stitches over the 4th to 6th stitches and let them stay on the left needle, sl the 4th to 6th stitches on the left, knit the 4th to 6th then knit the 1st to 3rd stitches; repeat from * to end of row.
Row 4: Knit
When you wrap your yarn around and then let it drop, you get a pretty openwork/droopy stitch. What they're having you do is...
1) add the extra length with the 3 yos in row 2
2) drop the extra yos by moving 6 real stitches at a time to the right needle - do step 3 below before moving on to the next batch of 6
3) move those 6 stitches back to the left needle, twisting them by moving stitches 1-3 over 4-6 and then knitting all 6 stitches
4) recover from all of this by knitting a regular row
The first time you let those extra loops drop is sort of nerve-wracking, but it works and it looks pretty in the end.
|All times are GMT -4. The time now is 02:34 AM.
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Silver and gold seed beads size 11 and 15, lampwork bead, 4 lb Fireline.
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China Travel Testimonials
Feedback for Vanessa
Vanessa couldn′t do anything better, and I will surely use her sevice again when in China, and I will recommend her to all other travellers!
- Thomas
China Travel Testimonials
Sammi's feedback:
"We had a great time in Shanghai and we are now back in Beijing. We had the most wonderful time here in China. It was very educational and life changing. All the guides were great and very helpful. The hotels, the food, the places and most of all, the Chinese people were a great experience. The spirit of the Chinese people is very strong and very kind, generous, family loving, and very hardworking. I admire the spirit of the people.What a great experience! Thank you for arranging this perfect trip. - Marissa"
- Customers' Feedbacks
- Tailor-make a Trip for me
5 Days Hong Kong, Lijiang Tour
By Geof ; Tour Date: May 4, 2015 - May 8, 2015
"Hi Vanessa Very good. The guide Sushan was great and Yunnan has some terrific scenery. I particularly liked the visit to the Jade Dragon Snow Mountain and the Tiger Leaping Gorge. I also really liked getting outside Lijiang and seeing the genuine rural>..."
By Ulrike ; Tour Date: May 6, 2015 - May 8, 2015
"Dear Vivi, nice to hear from you. As we stayed in Bejing and have visited the Great Wall, we took a video, which our guide Lilly has on her mobile phone aswell. You can use this. And it′s no problem to send some photos. Which kind are you>..."
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"We had a wonderful tour of Shanghai on April 26 with Jack as our guide. It was everything we had hoped for! Thank you for the excellent service that both you and Jack provided. Joseph and Samuel >"
By Sandra ; Tour Date: March 13, 2015 - March 13, 2015
"we saw lots of interesting things including the gardens and the paper cutting man. This was my husband and I's second visit but it was still very special and we saw a lot more. All our friends said it was a highlight of their cruise.Thank you very>..."
By Kenneth ; Tour Date: May 27, 2015 - May 27, 2015
"Dear Vivi, I had a very enjoyable trip to Suzhou and Zhouzhuang on May 27 with Doris and driver. The Lion Grove Garden and Suzhou Museum were unique and fascinating. Then explored the quaint water village of Zhouzhuang and visited several older homes>..."
10 Days Beijing, Xian, Guilin, Yangshuo, Shanghai Tour
By Joan ; Tour Date: April 24, 2015 - May 3, 2015
"Dear Vivi Barry and I had a very good time in China. We really enjoyed the tours and everything went very smoothly. Thanks very much for all your efforts, we really appreciate them. Best wishes Joan and Barry >"
24 Days Hong Kong, Shanghai, Suzhou Tour
By DONNA ; Tour Date: April 6, 2015 - April 29, 2015
"Hi there, Just some feedback regarding our Tours booked with China Travel from 3rd April to 29th April 2015. Tour:CYM150207052 ? Firstly a very big thank you to our Travel Advisor Vivi Chan for her great planning from what we wanted to see in China. When>..."
4 Days Chongqing, Yangtze, Yichang Tour
By Nancy ; Tour Date: April 14, 2015 - April 17, 2015
"Hi Vanessa We just got home tonight Had a great time on the cruise it was better than we had imagined George has told many people that they should go Thanks for your help in organizing that portion of our holiday. Nancy >"
4 Days Xian, Chongqing, Yangtze, Yichang, Shanghai Tour
By Heather ; Tour Date: April 18, 2015 - April 21, 2015
"Hi Vanessa,The Yanktze Cruise was one of our highlights while in China.Really enjoyed our time on board and the food.1. Overall impression - relaxing, well looked after by the staff, as we could not speak Chinese and the cabin was great. Entertainment on>..."
26 Days Beijing, Datong, Pingyao, Xian, Chengdu, Emeishan, Chongqing, Yangtze, Yichang, Suzhou, Hangzhou, Huangshan, Shanghai Tour
By SERGIO ; Tour Date: March 12, 2015 - April 6, 2015
"Vanessa, I would like to provide some personal comments and thank yous. Molly, our guide in Datong, was very knowledgeable, patient, organized, and pleasant. I am very thankful for her help with my Chinese and all the information she provided about not>..."
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BootCamp Installer Helper for MacFree
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From Travellers Inn: It appears some Leopard pre-installed Macs are missing Boot Camp Assistant. This application helps to install Boot Camp Assistant from Leopard install disc.
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Video Categories
ATV Hill climbing
Related Videos:
Author Dylan Toogood (160 years ago)
did you record this with a potato?
Author PiNkN1nja117 ( ago)
@iceguy2003 theyre not outlawed, i have a new 2010 KTM150xc
Author digitalfuk ( ago)
Author mrtaterman ( ago)
2 strokes for the fucking win!!! a 250r coulda done that no problemo.. its
(mostly) rider though
Author SwiftKickInTheBalls ( ago)
Should have bought a 2 stroke :D
Author dxcody2 ( ago)
New try to grab the quad and save it... haha Speaking from experience when
i was 13...
Author Tihomir Popov ( ago)
well that sucks
Author JustAGuy ( ago)
WHAT? 2-strokes were outlawed in 2006 because of emissions. 2-strokes are
king of power.
Author SheeRida01 ( ago)
they quit making to strokes becuase of emissions and the tree huggers.
there are plenty of 2 strokes out there that would smoke alot of 4 strokes
with these hill climbing comptetions
Author johntedrowjr ( ago)
is this in west virginia
Author Eli Wallach ( ago)
sounded like first to me
Author xxlhamexx ( ago)
dumbass nerd, get a life.
Author xxlhamexx ( ago)
if you mean the 2stroke is the knife 2stroke are done for in the ATV world
they just cant handle as much, thats why they quit manufacturing
Author xXxiiiMlGPrOxXx ( ago)
he shoulda down shifted and he woulda had it
Author rekop44 ( ago)
then why are they still producing 4 strokes and quit making two strokes you
dumb fuck. Also 4strokes have virtually taken over the racing world
Author HillClimbersForum ( ago)
could have been worse. check out my page and new forum. youll dig it.
Author Daniel DeArment (787 years ago)
Is this the track in WV near Man and Gilbert?
Author wardie550 (27 years ago)
stfu you stupid fuckin moron
Author e2sguy ( ago)
well what did yo uexpect ..its a four stroke ,thats what happens when you
bring a knife to a gun fight
Author bois123 ( ago)
WTF i can see a shit, get a good videocamara o dont upload video, u dumb
shit motherfucker
Author RebelRyne727 ( ago)
what exhaust is that
Author Chris Almeida ( ago)
Author Tyler Marks ( ago)
The internet is the internet. Get over it. Some people are better than
riding than others thats RL. I could post any video and say its me..so ya..
Author Craig Adams (1596 years ago)
That is the hill @ Rolling Thunder Raceway. I've been up that hill. Trust
me, it is way worse than the video shows. (They always look tame on video).
To all the ARMCHAIR RACERS out there bustin on the guys in videos. THEY are
RIDING and RACING. Unless you can post up YOURSELF doing something better,
shut your piehole and go eat another twinkie. Good effort Raptor.
Author TyCnado (953 years ago)
easy for a Dirtbike. Hard for a 4 wheeler. Great run!
Author mudriding350 ( ago)
that hill is extremely hard ive seen it before on one of my Huevous ridin
movies very few made it up
Author 1989firebirdduals ( ago)
motherfucker if your gonna talk shit and say just cause were not like you n
ride a 2 that dont mean all 4's suck. 2's are too much work anyhow.
Author Scott G ( ago)
takes one to know one. If your not a b!tch riding a 4 then your definitely
a fag
Author Scott G ( ago)
haha. old school baby.
Author 1989firebirdduals ( ago)
i hear makin dumb comments like yours are 4 assholes.
Author Mark Beveridge ( ago)
The Zilla was a badaxe weedeater. Seriously quadracer250's and zilla 500's
were wicked fast. Usually the 2 strokes are better at hillclimbing coz they
can rev quick. If you look at the video from Predwolf2 in the same group of
the Banshee (:27 seconds long), he loses his momentum and doesn't even make
it as far as the Raptor. It's 80% rider and 20% machine I was just busting
some chops because someone said Raptors suck.
Author Mark Beveridge ( ago)
It was the riders fault. He should have never shifted to 3rd. Also could
have used an extended swingarm and maybe spun his way up without it coming
over. That hill is a beast and once you lose your momentum you're cooked.
The night I was there it was dry and slick. The only thing getting up were
the bikes. Very few quads tried it. 2 strokes are for weedeaters...Raptors
Author Sextiva ( ago)
you guys are retarded, he was in 3rd and when he came down he was low
speed, too low for that gear, he should of down shifted in the air and he
would of made it no problems. its his fault for sucking not the quads.
Author rossk07 ( ago)
downshift a little earlier when you lose the r's, no?? and your right...its
a raptor for ya...you rarely see that on your 450's
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IRELAND: Castle Brands gives Clontarf and "edgy" Irish twist
Castle Brands has launched new packaging and an "edgy" marketing campaign for its Clontarf Irish whiskey brand.
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Volume 89 Issue 10 | p. 43 | Concentrates
Issue Date: March 7, 2011
Issue Date: March 7, 2011
Chemical Weapon For Plants Unsheathed
The war between plants and infectious microbes uncovers sulforaphane as a natural plant-defense chemical
Department: Science & Technology
Keywords: plant immunity, bacteria, pathogens
Keywords: plant immunity, bacteria, pathogens
Scientists studying the wars waged between plants and infectious microbes have discovered a new plant-defense chemical. While monitoring Arabidopsis plants under attack by Pseudomonas syringae pathogenic bacteria, a team led by Jun Fan of the John Innes Centre, in Norwich, England, and Peter Doerner of the Institute of Molecular Plant Sciences at the University of Edinburgh, in Scotland, discovered that the plants produce sulforaphane (4-methylsulfinylbutyl isothiocyanate) by breaking down aliphatic glucosinolates . . .
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Not far form Tour Eiffel or Invalides. On the XVth quartier. I really like this restaurant. Typical 'parisien' : small, good decoration, good service and excellent foie gras. The menu is around 40€ and even if the quantities of food are not very large, the dishes quality and original ingredients are worth it...specially for their foie gras. They even gave the option to buy it in small slices, at least during Christmas time. Wine is quite expensive, but you will always have the beer or water jar option. If you are only two people you might be sitten with someone else. Reservation is advised. Enjoy it !
Own or manage this property? Claim your listing for free to respond to reviews, update your profile and much more.


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