ISBN: 9789350239148    Publisher: Shroff Publishers & Distributors Pvt. Ltd. Year of publishing: 2014     Language: English

Apache Hive is a data warehouse infrastructure in Apache Hadoop. It can be used for data summarization, analysis and query. Apache Hive was first developed by Facebook and is now being used and developed further by Netflix. Programming Hive provides the reader with a low down on Hive. The book also takes us through the SQL dialect that is used in Hive, HiveQL. One can also quickly learn to analyze large sets of data using this book. Written by experts, Programming Hive first offers a perspective on setting up and using Hive in various environments. The authors then explain the various aspects of Hadoop and MapReduce, which is a programming model applied to large data sets with parallel algorithms applied in cluster. The book then explains the working of Hive within the confines of Hadoop and explains, with real life case studies, how various companies have dealt with obstacles involving petabytes of data using Hive. The example oriented approach to explanation of topics makes learning easier for the readers. In this book, readers will learn how to create and alter databases and to use functions and indexes. The book will also allow readers to use various queries like filtering, grouping and also load and extract data from data tables. The readers will be able to learn integrating Hive with various other data processing programs. Lastly, the book also elaborates on the benefits and disadvantages of running Hive on MapReduce. Programming Hive offers a comprehensive guide to Hive and aims to provide an in-depth learning experience. This first edition of the book was published by Shroff/O'Reilly in 2012 and is available in paperback.
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Edward Capriolo is associated with the Apache Software Foundation and is an experienced developer and a Linux and Network administrator. Currently, he is working as the System Administrator with Media6degrees.Dean Wampler is a Principal Consultant at Think Big Analytics and he is an expert in Big Data and data analysis tools like Hadoop and Machine Learning. He is also an expert in various other fields like JavaScript, Ruby and Object Oriented Programming.Jason Rutherglen is a software architect at Think Big Analytics and is an expert in security, Big Data and Hadoop.
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