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Apache Hive Essentials

You're reading from Apache Hive Essentials Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive

Product type Paperback

Published in Feb 2015

Publisher Packt

ISBN-13 9781783558575

Length 208 pages

Edition 1st Edition

Languages

SQL

Tools

Hive

Concepts

Data Processing

Author (1):

Dayong Du

View More author details

Table of Contents (17) Chapters

Apache Hive Essentials

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Overview of Big Data and Hive FREE CHAPTER

2. Setting Up the Hive Environment

3. Data Definition and Description

4. Data Selection and Scope

5. Data Manipulation

6. Data Aggregation and Sampling

7. Performance Considerations

8. Extensibility Considerations

9. Security Considerations

10. Working with Other Tools

Index

Chapter 10. Working with Other Tools

As one of the earliest and most popular SQL over Hadoop tools, Hive has many use cases of working with other tools to offer an end-to-end data intelligence solution. In this chapter, we will discuss the way Hive works with other big data tools in the following areas:

JDBC / ODBC connector
HBase
Hue
HCatalog
Zookeeper
Oozie
Hive roadmap

The rest of the chapter is locked

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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.

See other products by Dayong Du

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