Practical Hive
A Guide to Hadoop's Data Warehouse System
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Beschreibung
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 LearnInstall and configure Hive for new and existing datasetsPerform DDL operationsExecute efficient DML operationsUse tables, partitions, buckets, and user-defined functionsDiscover performance tuning tips and Hive best practicesWho This Book Is ForDevelopers, 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.
Comprehensive guide to using Hive in the real world Written by acknowledged experts in big data and Hive Covers all aspects of Hive, from getting started to advanced techniques such as performance tuning and security
Autor*in
Scott Shaw
Themen in »Practical Hive«
ORC AVRO DDL Sqoop RDBMS Hive streaming Flume sentiment analysis semi-structured data YARN Ranger integration Atlas integration Hcatalog HiveQL Hadoop