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

Optimizing dataflow execution – performance options


We will review a few extra options available for different transforms and objects in Data Services which affect performance and, sometimes, the way ETL processes and transforms data.

Getting ready

For this recipe, use the dataflow from the recipe Optimizing dataflow readers – lookup methods in this chapter. Please refer to this recipe if you need to create or rebuild this dataflow.

How to do it…

Data Services performance-related configuration options can be put under the following categories:

  • Dataflow performance options

  • Source table performance options

  • Query transform performance options

  • Lookup functions performance options

  • Target table performance options

In the following sections, we will review and explain all of them in details.

Dataflow performance options

To access dataflow performance options, right-click on a dataflow object and select Properties from the context menu.

The Degree of parallelism option replicates transform processes inside the...