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 – splitting the generation of top scores by copying and getting rows


Now you will split your transformation into two smaller transformation so that each meets a specific task. Here are the instructions.

  1. Open the transformation in the previous tutorial. Select all steps related to the preparation of data, that is, all steps from the Text file input step upto the Formula step.

  2. Copy the steps and paste them in a new transformation.

  3. Expand the Job category of steps.

  4. Select a Copy rows to result step, drag it to the canvas, and create a hop from the last step to this new one. Your transformation looks like this:

  5. Save the transformation in the transformations folder with the name top_scores_flow_preparing.ktr.

  6. Go back to the original transformation and select the rest of the steps, that is, the Mapping and the Text file output steps.

  7. Copy the steps and paste them in a new transformation.

  8. From the Job category of steps select a Get rows from result step, drag it to the canvas, and create...