In this final chapter, we started with the Hive JDBC and ODBC connector. Then, we introduced other popular big data tools and libraries that are often used with Hive, such as NoSQL (HBase, MongoDB), web user interface (Hue, Ambari Hive View), HCatalog, Oozie, Spark, and Hivemall. After going through this chapter, you should now understand how to use other big data tools with Hive to provide end-to-end data intelligence solutions.
Apache Hive Essentials. - Second Edition
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Apache Hive Essentials. - Second Edition
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Overview of this book
In this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment.
Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey.
By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problems
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Current Title:
Apache Hive Essentials. - Second Edition
Table of Contents (12 chapters)
Preface
Free Chapter
Overview of Big Data and Hive
Setting Up the Hive Environment
Data Definition and Description
Data Correlation and Scope
Data Manipulation
Data Aggregation and Sampling
Performance Considerations
Extensibility Considerations
Security Considerations
Working with Other Tools
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