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  • Book Overview & Buying Getting Started with Talend Open Studio for Data Integration
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Getting Started with Talend Open Studio for Data Integration

Getting Started with Talend Open Studio for Data Integration

By : Jonathan Bowen
3.8 (20)
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Getting Started with Talend Open Studio for Data Integration

Getting Started with Talend Open Studio for Data Integration

3.8 (20)
By: Jonathan Bowen

Overview of this book

Talend Open Studio for Data Integration (TOS) is an open source graphical development environment for creating custom integrations between systems. It comes with over 600 pre-built connectors that make it quick and easy to connect databases, transform files, load data, move, copy and rename files and connect individual components in order to define complex integration processes. "Getting Started with Talend Open Studio for Data Integration" illustrates common uses and scenarios in a simple, practical manner and, building on knowledge as the book progresses, works towards more complex integration solutions. TOS is a code generator and so does a lot of the "heavy lifting"ù for you. As such, it is a suitable tool for experienced developers and non-developers alike. You'll start by learning how to construct some common integrations tasks ñ transforming files and extracting data from a database, for example. These building blocks form a "toolkit"ù of techniques that you will learn how to apply in many different situations. By the end of the book, once complex integrations will appear easy and you will be your organization's integration expert! Best of all, TOS makes integrating systems fun!
Table of Contents (22 chapters)
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Getting Started with Talend Open Studio for Data Integration
Credits
Foreword
Foreword
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
3
Index

Summary


Following our introduction to working with files in Chapter 3, Transforming Files, this chapter worked through some common integration scenarios with one of the mainstays of modern applications, the relational database. We set up a database connection as project metadata that could be reused on many jobs. We learnt how to extract simple data from a database (from a single table), and two different ways that we might extract and join data from multiple tables. We created jobs that wrote data to a database, first from a flat file to a database and secondly, from database to database. We learned how to modify data in a database table and, finally, we learned about the dynamic database lookup based on information from an input data source.

Our next chapter will reuse some of the techniques we discovered in Chapters 3, Transforming Files and in this chapter, to help us understand how to implement some common data operation functions, sorting, filtering, aggregating, and normalizing.

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