Practical Hive : A Guide to Hadoops Data Warehouse System Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go to resource for using Hive: authors Scott Shaw Ankur Gupta David Kjerrumgaard and Andreas Francois Vermeulen take 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 Tez and other big data technologies Practical Hive gives you a detailed treatment of the software. In addition this book discusses the value of open source software Hive performance tuning and how to leverage semi structured and unstructured data. What You Will Learn Install and configure Hive for new and existing datasets Perform DDL operations Execute efficient DML operations Use tables partitions buckets and user defined functions Discover performance tuning tips and Hive best practices Who This Book Is For Developers companies and professionals who deal with large amounts of data and could use software that can efficiently manage large volumes of input. It is assumed that readers have the ability to work with SQL. . Chapter 1: Setting the Stage for Hive: Hadoop Chapter 2: Introducing Hive Chapter 3: Hive Architecture Chapter 4: Hive Tables DDL Chapter 5: Data Manipulation Language (DML) Chapter 6: Loading Data into Hive Chapter 7: Querying Semi Structured Data Chapter 8: Hive Analytics Chapter 9: Performance Tuning: Hive Chapter 10: Hive Security Chapter 11: Future of Hive Chapter 12: Appendix A. Building a Big Data Team Chapter 13: Appendix B. Hive Functions.