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Learning Pentaho Data Integration 8 CE

Learning Pentaho Data Integration 8 CE

By : Carina Roldán
5 (5)
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Learning Pentaho Data Integration 8 CE

Learning Pentaho Data Integration 8 CE

5 (5)
By: Carina Roldán

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)
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Summary


In this chapter, you learned how to insert code into your PDI transformations.

In the first place, you learned how to insert Javascript code. You used this option both to modify and to add new fields to your dataset. You also used Javascript code for filtering data, and for dealing with unstructured input data.

After that, you learned to use the UDJC step for inserting Java code. You used this option to insert and modify fields, and also to control the flow of data.

Besides, you received tips and directions to parse XML and JSON structures by coding. You also saw a list of the pros and cons of coding inside your Transformations, as well as alternative ways to do things, such as avoiding writing code when possible.

If you feel confident with all you have learned until now, you are certainly ready to move on to the next chapter. There, you will learn how to solve more advanced problems such as aggregating data or normalizing data from pivoted tables in a simple fashion.

 

 

 

 

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