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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

Installing Hive from vendors

Right now, many companies, such as Cloudera and Hortonworks, have packaged the Hadoop ecosystem and management tools into an easily manageable enterprise distribution. Each company takes a slightly different strategy, but the consensus for all of these packages is to make the Hadoop ecosystem easier and more stable for enterprise usage. For example, we can easily install Hive with the Hadoop management tools, such as Cloudera Manager (https://www.cloudera.com/products/product-components/cloudera-manager.html) or Ambari (https://ambari.apache.org/), which are packed in vendor distributions. Once the management tool is installed and started, we can add the Hive service to the Hadoop cluster with the following steps:

Log in to the Cloudera Manager/Ambari and click the Add a Service option to enter the Add Service Wizard
Choose the service to install, such as hive
Choose the proper hosts for hiveserver2, metastore server, WebHCat server, and so on
Configure the metastore...

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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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