Book Image

Pentaho 3.2 Data Integration: Beginner's Guide

Book Image

Pentaho 3.2 Data Integration: Beginner's Guide

Overview of this book

Pentaho Data Integration (a.k.a. Kettle) is a full-featured open source ETL (Extract, Transform, and Load) solution. Although PDI is a feature-rich tool, effectively capturing, manipulating, cleansing, transferring, and loading data can get complicated.This book is full of practical examples that will help you to take advantage of Pentaho Data Integration's graphical, drag-and-drop design environment. You will quickly get started with Pentaho Data Integration by following the step-by-step guidance in this book. The useful tips in this book will encourage you to exploit powerful features of Pentaho Data Integration and perform ETL operations with ease.Starting with the installation of the PDI software, this book will teach you all the key PDI concepts. Each chapter introduces new features, allowing you to gradually get involved with the tool. First, you will learn to work with plain files, and to do all kinds of data manipulation. Then, the book gives you a primer on databases and teaches you how to work with databases inside PDI. Not only that, you'll be given an introduction to data warehouse concepts and you will learn to load data in a data warehouse. After that, you will learn to implement simple and complex processes.Once you've learned all the basics, you will build a simple datamart that will serve to reinforce all the concepts learned through the book.
Table of Contents (27 chapters)
Pentaho 3.2 Data Integration Beginner's Guide
Credits
Foreword
The Kettle Project
About the Author
About the Reviewers
Preface
Index

Time for action – creating the time dimension dataset


In this tutorial we will create a simple dataset for a time dimension.

First we will create a stream with the days of the week:

  1. Create a new transformation.

  2. Press Ctrl+T to access the Transformation settings window.

  3. Select the Parameters tab and fill it like shown in the next screenshot:

  4. Expand the Job category of steps.

  5. Drag a Get Variables step to the canvas, double-click the step, and fill the window like here:

  6. After the Get Variables step, add a Split Fields step and use it to split the field week_days into seven String fields named sun, mon, tue, wed, thu, fri, and sat. As Delimiter, set a comma (,).

  7. Add one more Split Fields step and use it to split the field week_days_short into seven String fields named sun_sh, mon_sh, tue_sh, wed_sh, thu_sh, fri_sh, and sat_sh. As Delimiter, set a comma (,).

  8. After this last step, add a Row Normalizer step.

  9. Double-click the Row Normalizer step and fill it as follows:

  10. Keep the Row Normalizer step selected...