Skip to Content
Apache Hive Cookbook
book

Apache Hive Cookbook

by Hanish Bansal, Saurabh Chauhan, Shrey Mehrotra
April 2016
Beginner content levelBeginner
268 pages
5h 32m
English
Packt Publishing
Content preview from Apache Hive Cookbook

Preface

Hive is an open source big data framework in the Hadoop ecosystem. It provides an SQL-like interface to query data stored in HDFS. Underlying it runs MapReduce programs corresponding to the SQL query. Hive was initially developed by Facebook and later added to the Hadoop ecosystem.

Hive is currently the most preferred framework to query data in Hadoop. Because most of the historical data is stored in RDBMS data stores, including Oracle and Teradata. It is convenient for the developers to run similar SQL statements in Hive to query data.

Along with simple SQL statements, Hive supports wide variety of windowing and analytical functions, including rank, row num, dense rank, lead, and lag.

Hive is considered as de facto big data warehouse solution. ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Introduction to Apache Hive

Introduction to Apache Hive

Tom Hanlon

Publisher Resources

ISBN: 9781782161080Supplemental Content