Book Image

Learning Pentaho Data Integration 8 CE - Third Edition

Book Image

Learning Pentaho Data Integration 8 CE - Third Edition

Overview of this book

Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag-and-drop design and powerful Extract-Tranform-Load (ETL) capabilities. This book shows and explains the new interactive features of Spoon, the revamped look and feel, and the newest features of the tool including transformations and jobs Executors and the invaluable Metadata Injection capability. We begin with the installation of PDI software and then move on to cover all the key PDI concepts. Each of the chapter introduces new features, enabling you to gradually get practicing with the tool. First, you will learn to do all kind of data manipulation and work with simple plain files. Then, the book teaches you how you can work with relational databases inside PDI. Moreover, you will be given a primer on data warehouse concepts and you will learn how to load data in a data warehouse. During the course of this book, you will be familiarized with its intuitive, graphical and drag-and-drop design environment. By the end of this book, you will learn everything you need to know in order to meet your data manipulation requirements. Besides, your will be given best practices and advises for designing and deploying your projects.
Table of Contents (17 chapters)

Controlling the Flow of Data

In the previous chapters, you learned to transform your data in many ways. Now suppose you have to collect results from a survey. You receive several files with the data and those files have different formats. You have to merge those files somehow and generate a unified view of the information. Not only that, you want to remove the rows of data whose content is irrelevant. Finally, based on the rows that interest you, you want to create another file with some statistics. This kind of requirement is very common, but requires more background in Pentaho Data Integration (PDI). 

This chapter will give you the tools for implementing flows of data similar to the samples explained atop. In particular, we will cover the following topics:

  • Filtering data
  • Copying, distributing, and partitioning data
  • Splitting the stream based on conditions
  • Merging...