Practical Hive ― A Guide to Hadoop's Data Warehouse System

Your go-to resource for moving traditional relational databases into Hive, a Hadoop-based data warehousing product. Author Scott Shaw, an eminent big data expert, takes you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, and other big data technologies,Practical Hive gives you a detailed treatment of the software.

In addition, the latter portion of the book includes detailed, real-world case studies grounded in everyday Hive deployments that will show you how others have coaxed the most out of their Hive data warehouses.

Scott Shaw has over a decade of experience mostly centered around data management. He has worked as both an Oracle and SQL Server DBA. He has worked as a consultant on Microsoft business intelligence projects utilizing both Tabular and OLAP models. Scott also provides corporate training and speaking around distributed computing, Big Data concepts, business intelligence, Pig, Hive, and SQL Server. He is an MCSA and MCT. Scott currently works as a Solutions Engineer for Hortonworks.