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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 (12) Chapters

Preface

1. Overview of Big Data and Hive

2. Setting Up the Hive Environment FREE CHAPTER

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 6. Data Aggregation and Sampling

This chapter is about how to aggregate and sample data in Hive. It firstly covers the usage of several aggregation functions, analytic functions working with GROUP BY and PARTITION BY, and windowing clauses. Then, it introduces different ways of sampling data in Hive.

In this chapter, we will cover the following topics:

Basic aggregation
Advanced aggregation
Aggregation condition
Analytic functions
Sampling

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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