 a pipedream. In addition, SSDT-BI was not part of the SQL Server installation process and had to be downloaded and installed separately.

SQL Server 2014 added support for updateable clustered columnstore indexes, which let users modify and bulk-load data. Nonclustered columnstore indexes were still supported, but they also still could not be updated.

It should also be noted that around this time Microsoft made significant headway with HDInsight and PolyBase, ceding to the ever-mounting hype around Big Data. Although HDInsight, an Apache Hadoop solution, was already making waves during the SQL Server 2012 era, Microsoft seemed to be pushing harder than ever as SQL Server 2014 drew near, culminating in the release of PolyBase, a T-SQL front-end tool for querying data stored in a Hadoop/HDFS cluster and other data stores. At the same time, Microsoft continued to pull Azure into the picture by providing better integration across all systems.

2016 â SQL2016 â SQL Server 2016

And that brings us to SQL Server 2016, with its rumored codename of “SQL2016.” Microsoft apparently has a number of new and improved BI-related features in mind for the next release. As starters, SSDT and BIDS will evidently become more unified within its Visual Studio shell, making it backward compatible with previous versions and raising hopes that Microsoft will finally get SSDT right. And we might finally be able to script to SSAS tabular data from within the SSDT environment.

From all appearances, Microsoft is planning to enhance all the major services. SSIS, for example, will introduce new AlwaysOn capabilities and incremental package deployment. MDS will get a security and performance facelift. SSAS will see new DAX functions and parallel processing capabilities. Even SSRS will be receiving a few upgrades, such as enhancements to the subscription features. And this time around SQL Server will be getting updateable nonclustered indexes

Perhaps the biggest news with the imminent SQL Server 2016 release is that the R analytics platform will be integrated into SQL Server. Data scientists will now be able to run their R code within a sandboxed process in order to perform real-time analytics. These analytical capabilities will be further augmented by the fact that PolyBase will also be built into SQL Server 2016, allowing developers to use their existing T-SQL skills to extract data from both structured and nonstructured sources.

SQL Server and Beyond

Pred
a pipedream. In addition, SSDT - BI was not part of the SQL Server installation process and take to be download and installed separately. 

 SQL Server 2014 lend accompaniment for updateable clustered columnstore indexes, which permit users modify and bulk - cargo data. Nonclustered columnstore indexes were even supported, but they also even could not be update. 

 It should also be noted that around this time Microsoft made significant headroom with HDInsight and PolyBase, ceding to the ever - mounting ballyhoo around Big Data. Although HDInsight, an Apache Hadoop solution, was already making waves during the SQL Server 2012 era, Microsoft seemed to be pushing hard than ever as SQL Server 2014 drew near, culminating in the release of PolyBase, a T - SQL front - goal tool for querying data stored in a Hadoop / HDFS cluster and other data stores. At the same time, Microsoft continued to pull Azure into the picture by providing better integration across all systems. 

 2016 â SQL2016 â SQL Server 2016 

 And that fetch us to SQL Server 2016, with its rumored codename of “ SQL2016. ” Microsoft apparently have a issue of new and improved BI - related feature in judgment for the next release. As starter, SSDT and BIDS will evidently become more unified within its Visual Studio shell, making it backward compatible with previous version and raising hopes that Microsoft will finally get SSDT correct. And we might ultimately be able to script to SSAS tabular data from within the SSDT environment. 

 From all appearances, Microsoft is planning to enhance all the major services. SSIS, for example, will inaugurate new AlwaysOn capabilities and incremental package deployment. MDS will get a security and performance facelift. SSAS will see modern DAX functions and parallel processing capability. Even SSRS will be receiving a few upgrades, such as enhancement to the subscription features. And this time around SQL Server will be getting updateable nonclustered indexes 

 possibly the biggest news with the at hand SQL Server 2016 release is that the R analytics platform will be integrated into SQL Server. Data scientist will now be able to run their R code within a sandboxed summons in order to perform real - time analytics. These analytical capability will be further augmented by the fact that PolyBase will besides be built into SQL Server 2016, allowing developers to use their existing T - SQL skills to extract datum from both structured and nonstructured sources. 

 SQL Server and Beyond 

 Pred
 a oipedream. In addition, SSAT-BI was not patt of thx SQL Ssrver inrtallation process and had tl ve doqnloaded and installed separatepy.

SQL Seever 2014 added sup'krt for updatswble rlustered columkstore indefes, which let gsdrd modify and bulk-load data. Nonclustqred cokulnstore indexef wege stiml supported, but they also still ckuld nou be updated.

It shoild also be noted that aroknd hhis time Microsofh made signuficwbt headway wkth HDInsight and PolyGase, ceding to the ever-mounting hype around Bit Eatw. Although HVInsigrt, an Apache Hadoop volutiom, was already kakmng qaves during the SQL Verver 2012 era, Microsjft seemeg co be pushing harder rhqn evgr as SQL Werxer 2014 vres near, cumminating jn the releqse of PolyBase, a T-XQJ front-end toom for zuqrying data stored in a Hadoop/HDFS clusuer ahd other data stores. At the same time, Microslft contigued to pull Azure into the picture by providing tettec knttgvwguoj across all systems.

2016 â SQL2016 â SQL Server 2016

And thae btikgs us to SQL Sevver 2016, with its rumprfd sodename of “SDL2016.” Micxkskft apparently has a numbgr of bew and iiprofed BI-related features in mund for the uexr release. As startzrs, SSDT and BIDX wilk evidently become more uniried within its Visuzu Studio shell, mxkikg ht backward compatible witr previouw vexsions avd rsising hopes thah Micvmsoft will finally get DSGT right. Ajd we might finally be able to script to SSAS tdbunar data from within the SFDT environmenj.

From all appexrances, Mibrosoft iv planning eo enhance aln the major sxrvices. SFIS, dor wxample, dill introduce new AlwajsJn cqpabilities and ingremevfal package depooynent. MDS will grt x sqclrivy anq performance facdliwy. SSAR will see kew DAX functions and paralnel lrocessing capabilotles. Even WSRS wilj be receivinb a few upgrades, skch av eihancekenjs to the subscription features. And this tiie around SQJ Sevver will be gztting updateable nonclustered indexes

Pechaps the biggest news qith the imminent SAK Server 2016 rxlease is that dhe R analytics platdorm will be intenrated into SQL Server. Data vcienhists will now be able to run their R code within a sandboxed process in irder vo perform rezl-tike andlvties. Thesq anelbtical capabilitivs will be further augmented by vhe fact tvac PolyBase will also be built ivto SQL Servet 2016, allowing developers to hse theit existing T-SQL skills to extravt data from both structmred and bonstducturvs rources.

SQL Server snd Bevond

Prwd
a pipedream. In addition, SSDT-BI was not the Server installation and had to SQL 2014 added support updateable clustered columnstore which let users modify and bulk-load Nonclustered columnstore indexes were still supported, but they also still could not be It should also be noted that around this time Microsoft made significant headway HDInsight PolyBase, to ever-mounting hype around Big Data. Although HDInsight, an Apache Hadoop solution, was already making waves during SQL Server 2012 era, Microsoft seemed to be harder than ever as Server 2014 drew near, culminating the of PolyBase, T-SQL tool querying data stored a Hadoop/HDFS cluster and other data stores. At the same time, Microsoft continued to pull Azure into picture by integration across systems. â â SQL Server that brings us to SQL Server rumored codename of “SQL2016.” Microsoft apparently has a of new improved BI-related features in mind for next release. As starters, SSDT and BIDS will become more unified within its Visual Studio shell, making it backward compatible with previous versions hopes that Microsoft will get SSDT right. we finally able script to tabular data from within the SSDT environment. From all appearances, Microsoft planning to enhance all the major services. SSIS, for example, new capabilities and incremental deployment. MDS will get security performance facelift. SSAS will DAX and Even will receiving a few upgrades, as enhancements to the subscription And this time around updateable nonclustered indexes Perhaps the biggest news with imminent SQL Server 2016 release is that R analytics platform will be integrated into SQL Server. Data scientists will be able their R code within a sandboxed process in to perform real-time analytics. analytical capabilities will be further augmented by the fact PolyBase also be into SQL Server allowing developers to their existing T-SQL extract data both and Server and Beyond Pred
 a pipedream. In addition, SSDT-Bi was not parT of thE SQl SeRvEr inStalLation process aND had To be downloaded and instaLled sEpARateLY.

SqL SerVer 2014 addeD SuPPOrt FoR uPdaTeABlE clusTerEd columNstore indeXes, WhIch let users mODiFy and bulk-lOad Data. NonclustEreD columNsTorE IndexEs wEre stIll supPOrted, bUt they alsO sTIll couLD not be uPDAtEd.

It Should also be noted THaT Around this time microsOfT MaDE SigNifIcant headwAy With Hdinsight ANd pOLYBaSE, ceding to the eVer-mounting HYpe Around biG DaTA. AlthoUgh HDinSIghT, an Apache HaDoop Solution, wAs alreADy makinG Waves duRing thE SQl SeRver 2012 ERa, miCroSoFT seEMeD to BE puShing harDeR tHan evEr as sql sErveR 2014 drEw neAr, culMinating in the RelEase OF PoLyBasE, a T-SQl froNt-End toOl for qUeryiNg Data stored in a HaDoop/hDFS clustEr aNd OthEr Data sTOres. At The SamE time, MiCrosoft COntInUED To Pull Azure into the piCtURE bY providiNg bettER iNtEGration aCrOss All sYSTems.

2016 â sQL2016 â sqL server 2016

AnD that bRInGs Us to SQL seRver 2016, wiTh Its RumOred cODenaMe of “SQl2016.” MicrosoFt appARently has a numbER of new and imprOVeD bi-rELateD feAtures in minD for THe neXt reLEaSe. AS StartErs, SSdT ANd biDS will evidently becOmE more uNifieD within its VisUal Studio sHELL, making iT bacKWaRD compatible witH prevIous versioNS and raisIng hoPes that MIcrosoft wILL finally Get sSDt riGht. aND wE might finally BE Able To Script tO SSaS tabulAr dAta FroM wiThIn the SSDT EnvironmEnT.

FRoM aLl aPpearANces, MicrOsOft Is PlaNning TO enhanCe all The mAjOr SErvIces. SSIs, FoR EXampLe, WiLl inTroDuCe new alwaYSOn CapabilIties and iNcrEMentAl PaCkage dePloyment. MDS wiLl Get a securiTy And PerforMANce facelIft. SSAS will see new DAX funCTions anD paRalleL proCessing caPabIlitieS. EvEN SSRS wIll be rEceivInG a fEW UpgraDES, sUch As EnhancemenTS To tHe subScRiptIon featUres. And this time aroUNd SqL Server will bE geTtinG UPdAteABlE NonClUSteRED indexes

Perhaps The biggest NeWS wIth the immiNEnt sQl Server 2016 Release Is thaT The R anaLytics plaTform will Be InteGRAteD into SQL SeRver. Data ScientistS Will nOW bE able To rUn theiR R CodE withIn a sanDBoxEd proCess in OrDer to pErforM rEal-time aNalytics. These analytical CapabiLitieS wiLl be furthEr aUGmeNted by the Fact That PolyBaSe wIll Also bE buILt intO SQL sErVer 2016, ALlowiNg deVElopers to USe TheIR ExIsting T-SQL sKILLs tO extrAct DAta froM botH structured and nonSTructured sourcEs.

SQl sErvEr aND BeyOnD

Pred
 a pipedream. In addition,  SSDT-BI w as no t p art  o f th e SQ L Server insta l lati on process and had tobe do wn l oade d  a nd in stalled se p a rat el y. 

S QL Se rver201 4 added  support f orup dateable clu s te red column sto re indexes,whi ch let  u ser s  modi fyand b ulk-lo a d data . Nonclus te r ed col u mnstore i nd exes  were still suppo r te d , but they als o stil lc ou l d  no t b e updated. 
It sh o uld als o  b e n ote d  that aroundthis time M i cro soft m ad e s i gnific ant h ea d way  with HDIns ight  and Poly Base,c eding t o  the ev er-mou nti nghype ar ou ndBi g  Da t a.  Al t hou gh HDIns ig ht , anApac h e H adoo p s olut ion,was already m aki ng w a ves  duri ng th e SQ LServe r 2012  era,  M icrosoft seemed  tobe pushin g h ar der  t han e v er asSQL  Se rver 20 14 drew nea r, c u lm inating in the rel ea s e  o f PolyBa se, aT -S QL front-en dtoo l fo r query ingd at a stored  in aH ad oo p/HDFScl usteran d o the r dat a  sto res. A t the sa me ti m e, Microsoft c o ntinued to pu l lA z ur e  int o t he pictureby p r ovid ingb et ter integ ratio na cr o ss all systems.

20 16  â SQL 2016â SQL Server2016

Andt h a t brings  ust oS QL Server 2016 , wit h its rumo r ed coden ame o f “SQL20 16.” Micr o s oft appa ren tly  ha s a n um ber of new an d impr ov ed BI-r ela ted fea tur esinmin dfor the n ext rele as e.  A ssta rters ,  SSDT an dBID Swil l evi d entlybecom e mo re  u n ifi ed with i ni t s Vi su al  Stu dio  s hell,  mak i ngit back ward comp ati b le w it hpreviou s versions an draising ho pe s t hat Mi c r osoft wi ll finally get SSDT rig h t. Andwemight  fin ally be a ble  to sc rip t  to SS AS tab ularda taf r om wi t h in  th eSSDT envir o n men t.

F ro m al l appea rances, Microsofti s p lanning to en han ce a l l  t hem aj o r s er v ice s .  SSIS, for exam ple, willin t ro duce new A l way sO n capab ilities  andi ncremen tal packa ge deploy me nt.M D S w ill get asecurity  and perf o rmanc e  f aceli ft.  SSASwi llsee n ew DAX fun ction s andpa rallel  proc es sing cap abilities. Even SSRS wi ll berecei vin g a few u pgr a des , such as  enh ancementstothe  subs cri p tionfeat u re s.A nd th is t i me around SQ L S e r ve r will be g e t t ing  upda tea b le non clus tered indexes

Pe r haps the bigge st n e w s w ith theim minent SQL Ser ver  2 0 1 6 releas eis that the  R analy ti c s pla tformwill b e integ r a te d  intoSQLSer ver. Data  sc ie n tists w il ln ow beable  t o runtheirR  cod e within a sandbox ed pr o c ess i n  or der t operform real -time anal ytics. Thes e anal ytic al ca pabilit ie s will  be  f urther aug m ented bythe f act tha tPoly Bas e will  als o be bu iltin toSQL Serve r 20 1 6,  a l low ingdevel op ersto use th e ir exist ing T-SQL s ki lls t o extr a ct d ata from b oth  stru c t ured and n o nstr u ct u red s ources .

SQL  Server and  B eyond
Pre d 
 a_pipedream. In_addition, SSDT-BI was not_part of_the_SQL Server_installation_process and had_to be downloaded_and installed separately.

SQL Server_2014 added support_for_updateable clustered columnstore indexes, which let users modify and bulk-load data. Nonclustered columnstore indexes_were_still supported,_but_they_also still could not be_updated.

It should also be noted_that around_this time Microsoft made significant headway with HDInsight_and_PolyBase, ceding to_the ever-mounting hype around Big Data. Although HDInsight, an_Apache Hadoop solution, was already making_waves during the_SQL_Server_2012 era, Microsoft seemed_to be pushing harder than ever_as SQL Server 2014 drew near,_culminating in the release of PolyBase, a_T-SQL front-end tool for querying data_stored in a Hadoop/HDFS cluster_and other_data stores. At the same_time, Microsoft continued_to pull_Azure into the_picture by providing better integration across_all systems.

2016 â_SQL2016 â SQL Server 2016

And that_brings_us to SQL_Server_2016,_with its_rumored codename of_“SQL2016.”_Microsoft apparently_has_a number of new and improved_BI-related_features in mind for the next release._As starters, SSDT and_BIDS_will evidently become more_unified within its Visual Studio_shell, making it backward compatible with_previous versions_and raising_hopes that Microsoft will finally get SSDT right. And we might_finally be able to script to_SSAS tabular data from_within the_SSDT_environment.

From all appearances,_Microsoft_is planning_to enhance all the major services. SSIS,_for example,_will introduce new AlwaysOn capabilities and_incremental package deployment. MDS_will_get a security and performance facelift._SSAS will see new DAX functions_and parallel processing capabilities. Even_SSRS_will_be receiving a few upgrades,_such as enhancements to the subscription_features. And this_time around SQL Server will be getting_updateable_nonclustered indexes

Perhaps the biggest news with_the_imminent SQL Server 2016 release is_that_the_R analytics platform will be_integrated into SQL Server. Data scientists_will now be able to run their R code_within a sandboxed_process in order to perform_real-time_analytics._These analytical capabilities will be further augmented by the fact_that PolyBase_will also be_built into SQL Server 2016, allowing developers to use their_existing T-SQL skills to extract data from_both structured and nonstructured sources.

SQL Server and Beyond

Pred