Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Learning Pentaho Data Integration 8 CE
  • Table Of Contents Toc
  • Feedback & Rating feedback
Learning Pentaho Data Integration 8 CE

Learning Pentaho Data Integration 8 CE

By : Carina Roldán
5 (5)
close
close
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)
close
close

Summary

In this chapter, you learned how to work on groups of rows in very different ways. First of all, you learned to sort, a very simple but useful task. Then you learned to aggregate data obtaining statistics such as sum, count, average, and so on, and also calculating other useful numbers as for example the first or last value in a dataset. After that, you learned to transform your dataset by applying two very useful steps: Row Normaliser and Row denormaliser. They do a great task in quite a simple way. Finally, you used the Analytic Query step to grab and use values in rows different than the current one.

So far, you have been transforming data stored mainly in files. In the next chapter, we will start learning to work with databases, which will enrich a lot of your possibilities in the creation of Extract, Transform, and Load (ETL) processes.

...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY