هیو عملی: راهنمای سیستم انبار داده‌های هادوپ

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. "Authors 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, 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."-- Provided by publisher Front Matter....Pages i-xxi Setting the Stage for Hive: Hadoop....Pages 1-22 Introducing Hive....Pages 23-35 Hive Architecture....Pages 37-48 Hive Tables DDL....Pages 49-76 Data Manipulation Language (DML)....Pages 77-98 Loading Data into Hive....Pages 99-114 Querying Semi-Structured Data....Pages 115-131 Hive Analytics....Pages 133-217 Performance Tuning: Hive....Pages 219-232 Hive Security....Pages 233-243 The Future of Hive....Pages 245-247 Building a Big Data Team....Pages 249-252 Hive Functions....Pages 253-262 Back Matter....Pages 263-265 Scott Shaw, Andreas Franc�ʹois Vermeulen, Ankur Gupta, David Kjerrumgaard.