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Hadoop Beginner's Guide

You're reading from   Hadoop Beginner's Guide Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services – just a willingness to learn the basics from this practical step-by-step tutorial.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (19) Chapters Close

Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. What It's All About 2. Getting Hadoop Up and Running FREE CHAPTER 3. Understanding MapReduce 4. Developing MapReduce Programs 5. Advanced MapReduce Techniques 6. When Things Break 7. Keeping Things Running 8. A Relational View on Data with Hive 9. Working with Relational Databases 10. Data Collection with Flume 11. Where to Go Next Pop Quiz Answers Index

Using Hive


With our Hive installation, we will now import and analyze the UFO data set introduced in Chapter 4, Developing MapReduce Programs.

When importing any new data into Hive, there is generally a three-stage process:

  1. Create the specification of the table into which the data is to be imported.

  2. Import the data into the created table.

  3. Execute HiveQL queries against the table.

This process should look very familiar to those with experience with relational databases. Hive gives a structured query view of our data and to enable that, we must first define the specification of the table's columns and import the data into the table before we can execute any queries.

Note

We assume a general level of familiarity with SQL and will be focusing more on how to get things done with Hive than in explaining particular SQL constructs in detail. A SQL reference may be handy for those with little familiarity with the language, though we will make sure you know what each statement does, even if the details require...

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