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Learning Pentaho Data Integration 8 CE

You're reading from   Learning Pentaho Data Integration 8 CE An end-to-end guide to exploring, transforming, and integrating your data across multiple sources

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292436
Length 500 pages
Edition 3rd Edition
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Author (1):
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María Carina Roldán María Carina Roldán
Author Profile Icon María Carina Roldán
María Carina Roldán
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Table of Contents (17) Chapters Close

Preface 1. Getting Started with Pentaho Data Integration 2. Getting Started with Transformations FREE CHAPTER 3. Creating Basic Task Flows 4. Reading and Writing Files 5. Manipulating PDI Data and Metadata 6. Controlling the Flow of Data 7. Cleansing, Validating, and Fixing Data 8. Manipulating Data by Coding 9. Transforming the Dataset 10. Performing Basic Operations with Databases 11. Loading Data Marts with PDI 12. Creating Portable and Reusable Transformations 13. Implementing Metadata Injection 14. Creating Advanced Jobs 15. Launching Transformations and Jobs from the Command Line 16. Best Practices for Designing and Deploying a PDI Project

Working with Big Data and cloud sources

While flat files and databases are the most common types of sources that you use from PDI, there are many other types of data sources available. People have started to leverage the capabilities of tools such as Hadoop, NoSQL databases, and cloud services. In this section, you will learn to connect, read data from, and load data into some of these big data sources with PDI.

Reading files from an AWS S3 instance

S3 is a scalable storage space and is a common location for files to be processed. If you have files in S3 and want to read them, you don't have to download them. PDI allows you to read those files directly from the Amazon Web Services (AWS) Simple Storage Service...

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