Book Image

SAP Data Services 4.x Cookbook

Book Image

SAP Data Services 4.x Cookbook

Overview of this book

Want to cost effectively deliver trusted information to all of your crucial business functions? SAP Data Services delivers one enterprise-class solution for data integration, data quality, data profiling, and text data processing. It boosts productivity with a single solution for data quality and data integration. SAP Data Services also enables you to move, improve, govern, and unlock big data. This book will lead you through the SAP Data Services environment to efficiently develop ETL processes. To begin with, you’ll learn to install, configure, and prepare the ETL development environment. You will get familiarized with the concepts of developing ETL processes with SAP Data Services. Starting from smallest unit of work- the data flow, the chapters will lead you to the highest organizational unit—the Data Services job, revealing the advanced techniques of ETL design. You will learn to import XML files by creating and implementing real-time jobs. It will then guide you through the ETL development patterns that enable the most effective performance when extracting, transforming, and loading data. You will also find out how to create validation functions and transforms. Finally, the book will show you the benefits of data quality management with the help of another SAP solution—Information Steward.
Table of Contents (19 chapters)
SAP Data Services 4.x Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Simplifying ETL execution with system configurations


Working in multiple source and target environments is very common. The development of ETL processes by accessing data directly from the production system happens very rarely. Most of the time, multiple copies of the source system database are created to provide the working environment for ETL developers.

Basically, the development environment is an exact copy of the production environment with the only difference being that the development environment holds an old snapshot of the data or test data in smaller volumes for quick test job execution.

So, what happens after you create a datastore object, import all required tables from database into it, and finish developing your ETL? You have to switch to the production environment.

Data Services provides a very convenient way of storing multiple datastore configurations in the same datastore object, so you do not need to edit datastore object options each time you want to extract from either...