Book Image

Pentaho Data Integration Cookbook - Second Edition

Book Image

Pentaho Data Integration Cookbook - Second Edition

Overview of this book

Pentaho Data Integration is the premier open source ETL tool, providing easy, fast, and effective ways to move and transform data. While PDI is relatively easy to pick up, it can take time to learn the best practices so you can design your transformations to process data faster and more efficiently. If you are looking for clear and practical recipes that will advance your skills in Kettle, then this is the book for you. Pentaho Data Integration Cookbook Second Edition guides you through the features of explains the Kettle features in detail and provides easy to follow recipes on file management and databases that can throw a curve ball to even the most experienced developers. Pentaho Data Integration Cookbook Second Edition provides updates to the material covered in the first edition as well as new recipes that show you how to use some of the key features of PDI that have been released since the publication of the first edition. You will learn how to work with various data sources – from relational and NoSQL databases, flat files, XML files, and more. The book will also cover best practices that you can take advantage of immediately within your own solutions, like building reusable code, data quality, and plugins that can add even more functionality. Pentaho Data Integration Cookbook Second Edition will provide you with the recipes that cover the common pitfalls that even seasoned developers can find themselves facing. You will also learn how to use various data sources in Kettle as well as advanced features.
Table of Contents (21 chapters)
Pentaho Data Integration Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
References
Index

Loading data into Hadoop


Hadoop is at the heart of the Big Data movement. Being derived from Google's white papers on MapReduce and Google File System, Hadoop is able to scale up beyond petabytes of data and provide the backbone for fast and effective data analysis.

Pentaho was one of the first companies to provide support for Hadoop and has open sourced those capabilities, along with steps for other Big Data sources.

Note

There are a lot of great tutorials and videos on Pentaho's Big Data wiki available at http://wiki.pentaho.com/display/BAD/Pentaho+Big+Data+Community+Home.

Getting ready

Before we actually try to connect to Hadoop, we have to set up an appropriate environment. Companies like Hortonworks and Cloudera have been at the forefront of providing new features and functionality to the Hadoop ecosystem, including Sandbox environments, to learn about the various tools. We will be using Hortonworks' Sandbox environment for this chapter's Hadoop recipes.

Note

Hortonworks' Sandbox environment...