Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Getting Started with Talend Open Studio for Data Integration

You're reading from   Getting Started with Talend Open Studio for Data Integration This is the complete course for anybody who wants to get to grips with Talend Open Studio for Data Integration. From the basics of transferring data to complex integration processes, it will give you a head start.

Arrow left icon
Product type Paperback
Published in Nov 2012
Publisher Packt
ISBN-13 9781849514729
Length 320 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Jonathan Bowen Jonathan Bowen
Author Profile Icon Jonathan Bowen
Jonathan Bowen
Arrow right icon
View More author details
Toc

Table of Contents (22) Chapters Close

Getting Started with Talend Open Studio for Data Integration
Credits
Foreword
Foreword
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
1. Knowing Talend Open Studio FREE CHAPTER 2. Working with Talend Open Studio 3. Transforming Files 4. Working with Databases 5. Filtering, Sorting, and Other Processing Techniques 6. Managing Files 7. Job Orchestration 8. Managing Jobs 9. Global Variables and Contexts 10. Worked Examples Installing Sample Jobs and Data Resources 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.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime