Scott Shaw

Ankur Gupta

Cindy Gross

Practical Hive is 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.

A Guide to Hadoop's Data Warehouse System

Practical Hive

Lalit Garg

Deepak Garg

Sarangapani Jagannathan

Suneet Gupta

This volume constitutes reviewed and selected papers from the 11th International Advanced Computing Conference, IACC 2021, held in December 2021. The 47 full papers and 4 short papers presented in the volume were thorougly reviewed and selected from 246 submissions. The papers are organized in the following topical sections: application of artificial intelligence and machine learning in healthcare; application of AI for emotion and behaviour prediction; problem solving using reinforcement learning and analysis of data; advance uses of RNN and regression techniques; special intervention of AI.

11th International Conference, IACC 2021, Msida, Malta, December 18–19, 2021, Revised Selected Papers

Advanced Computing

Andreas François Vermeulen

David Kjerrumgaard

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.

Ankur Gupta

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