Book Image

Hadoop Beginner's Guide

Book Image

Hadoop Beginner's Guide

Overview of this book

Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills."Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.
Table of Contents (19 chapters)
Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
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...