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

Avoiding coding by using purpose-built steps


You saw through the exercises how powerful the JavaScript step is for helping you in your transformations. In older versions of PDI, coding JavaScript was the only means you had for doing specific tasks. In the latest releases of PDI, actual steps appeared that eliminate the need for coding in many cases. Here you have some examples of that:

  • Formula: You saw it in Chapter 3. Before the appearance of this step, there were a lot of functions such as the text functions that you could only solve with JavaScript.

  • Analytic Query: This step offers a way to retrieve information from rows before or after the current.

  • Split field to rows: The step is used to create several rows from a single string value. You used this step in Chapter 3 to create a new row for each word found in a file.

Analytic Query and Split fields to row are examples of where not only the need for coding was eliminated, they also eliminated the need for accessing internal objects...