Hadoop For Dummies

Learn to: Understand the value of big data and how Hadoop can help manage it Navigate the Hadoop 2 ecosystem and create clusters Use applications for data mining, problem–solving, analytics, and more The easy–to–use, practical guide to using Hadoop for big data With most of the worlds data created in only the past two years, Hadoop has emerged as the definitive computing paradigm to handle big data. This comprehensive guide from IBM big data experts provides a hands–on resource for those who want to dig into the details of HDFS and MapReduce to take data storage and processing to the next level. Get started with Hadoop discover the origins of Hadoop, the realities of worldwide data growth, and practical use cases for this revolutionary platform Under the Hadoop hood dig into Hadoops distributed framework, including HDFS and MapReduce and the best tools for working with data in Hadoop Hadoop and structured data modernize data warehouses with Hadoop and discover data utilities like HBase, Hive, and Sqoop Hands on with Hadoop get your hands dirty with details on configuring Hadoop clusters and an overview of day–to–day Hadoop administration Take your Hadoop knowledge to the next level use additional Hadoop resources to understand the technology at a deeper level Open the book and find: Coverage of the Hadoop 2 ecosystem and Yarn Real–world use cases to help you get started Details on Hadoop distributions and cluster setup How to use Oozie for scheduling workflows How to add structure with Hive and HBase Details on running native SQL queries on Hive On–premise and cloud deployment options for Hadoop The challenges faced by administrators

Dirk deRoos is the technical sales lead for IBMs InfoSphere BigInsights. Paul C. Zikopoulos is the vice president of big data in the IBM Information Management division. Roman B. Melnyk, PhD is a senior member of the DB2 Information Development team. Bruce Brown and Rafael Coss work with big data with IBM.