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Apache Hive Cookbook

You're reading from   Apache Hive Cookbook

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781782161080
Length 268 pages
Edition 1st Edition
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Toc

Table of Contents (14) Chapters Close

Preface 1. Developing Hive 2. Services in Hive FREE CHAPTER 3. Understanding the Hive Data Model 4. Hive Data Definition Language 5. Hive Data Manipulation Language 6. Hive Extensibility Features 7. Joins and Join Optimization 8. Statistics in Hive 9. Functions in Hive 10. Hive Tuning 11. Hive Security 12. Hive Integration with Other Frameworks Index

Introduction

Hive, an Apache Hadoop ecosystem component is developed by Facebook to query the data stored in Hadoop Distributed File System (HDFS). Here, HDFS is the data storage layer of Hadoop that at very high level divides the data into small blocks (default 128 MB) and stores these blocks on different nodes.

Hive provides a SQL-like query model named Hive Query Language (HQL) to access and analyze big data. It is also termed Data Warehousing framework of Hadoop and provides various analytical features, such as windowing and partitioning.

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