title: Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem (Addison-wesley Data & Analytics Series)
author: Douglas Eadline
description: <b>Douglas Eadline</b> began his career as a practitioner and a chronicler of the Linux cluster HPC revolution and now documents Big Data analytics. Starting with the first Beowulf Cluster how-to document, Doug has written hundreds of articles, white papers, and instructional documents covering virtually all aspects of High Performance Computing (HPC). Prior to starting and editing the popular ClusterMonkey.net website in 2005, he served as editor-in-chief for ClusterWorld Magazine, and was senior HPC editor for <i>Linux Magazine</i>. Currently, he is a writer and consultant to the HPC/Data Analytics industry and leader of the Limulus Personal Cluster Project (limulus.basement-supercomputing.com). He authored <i>Hadoop Fundamentals LiveLessons, Second Edition</i> (2015), and <i>Apache Hadoop YARN LiveLessons</i> (2014), and is coauthor of <i>Apache Hadoop&trade; YARN</i> (2014), all from Addison-Wesley. <p style="margin:0px;">&nbsp;
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  Apache Tajo  
   
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  About the Tutorial 
  Apache Tajo is an open-source distributed data warehouse framework for Hadoop. Tajo 
  was initially started by Gruter, a Hadoop-based infrastructure company in south Korea. 
  Later, experts from Intel, Etsy, NASA, Cloudera, Hortonworks also contributed to the 
  project.  
  Tajo refers to an ostrich in Korean language. In the year March 2014, Tajo was granted a 
  top-level open source Apache project. This tutorial will explore the basics of Tajo and 
  moving on, it will explain cluster setup, Tajo shell, SQL queries, integration with other big 
  data technologies and finally conclude with some examples. 
   
  Audience 
  Before proceeding with this tutorial, you must have a sound knowledge on core Java, any 
  of the Linux OS, and DBMS. 
   
  Prerequisites 
  This tutorial has been prepared for professionals aspiring to make a career in big data 
  analytics. This tutorial will give you enough understanding on Apache Tajo.  
   
  Disclaimer & Copyright 
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