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Apache Hive Essentials

You're reading from Apache Hive Essentials Essential techniques to help you process, and get unique insights from, big data

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788995092

Length 210 pages

Edition 2nd Edition

Languages

Java

Tools

Hive

Concepts

Big Data

Author (1):

Dayong Du

View More author details

Table of Contents (18) Chapters

Title Page

Copyright and Credits

Dedication

Packt Upsell

Contributors

Preface

1. Overview of Big Data and Hive FREE CHAPTER

2. Setting Up the Hive Environment

3. Data Definition and Description

4. Data Correlation and Scope

5. Data Manipulation

6. Data Aggregation and Sampling

7. Performance Considerations

8. Extensibility Considerations

9. Security Considerations

10. Working with Other Tools

1. Other Books You May Enjoy

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Index

HCatalog

HCatalog (see https://cwiki.apache.org/confluence/display/Hive/HCatalog) is a metadata management system for Hadoop data. It stores consistent schema information for Hadoop ecosystem tools, such as Pig, Hive, and MapReduce. By default, HCatalog supports data in the format of RCFile, CSV, JSON, SequenceFile, ORC file, and a customized format if InputFormat, OutputFormat, and SerDe are implemented. By using HCatalog, users are able to directly create, edit, and expose (via its REST API) metadata, which becomes effective immediately in all tools sharing the same piece of metadata. At first, HCatalog was a separate Apache project from Hive. Eventually, HCatalog became part of the Hive project in 2013 starting with Hive v0.11.0. HCatalog is built on top of the Hive metastore and incorporates support for HQL DDL. It provides read and write interfaces and HCatLoader and HCatStorer. For Pig, it implements Pig's load and store interfaces. HCatalog also provides an interface for MapReduce...

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Authors (1)

Dayong Du

Dayong Du

Dayong Du has all his career dedicated to enterprise data and analytics for more than 10 years, especially on enterprise use case with open source big data technology, such as Hadoop, Hive, HBase, Spark, etc. Dayong is a big data practitioner as well as author and coach. He has published the 1st and 2nd edition of Apache Hive Essential and coached lots of people who are interested to learn and use big data technology. In addition, he is a seasonal blogger, contributor, and advisor for big data start-ups, co-founder of Toronto big data professional association.

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