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
About the Author
About the Reviewers

Splitting the flow of data with the Case transform

The Case transform allows you to put branch logic in a single location inside a dataflow in order to split the dataset and send parts of it to different locations. They might be target dataflow objects, such as tables and files, or just other transforms. The use of the Case transform simplifies ETL development and increases the readability of your code.

Getting ready

In this recipe, we will build the dataflow that reads the contents of the dimension table DimEmployee and updates it according to the following business requirements:

  • All male employees in the production department gets extra vacation hours

  • All female employees in the production department get 10 extra sick hours

  • All employees in the quality assurance department get their base rate increased by 1.5

So, before you begin developing your ETL, make sure you import the DimEmployee table in the DWH datastore. We are going to use it as both source and target object in our dataflow.

How to...