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 (14 chapters)
11
11. Working with SAP Applications
13
Index

Chapter 4. Dataflow – Extract, Transform, and Load

In this chapter we will take a look at examples of the most important processing unit in Data Services—the dataflow object—and the most useful types of transformations you can use inside them. We will cover:

  • Creating a source data object
  • Creating a target data object
  • Loading data into a flat file
  • Loading data from a flat file
  • Loading data from table to table – lookups and joins
  • Using the Map_Operation transform
  • Using the Table_Comparison transform
  • Exploring the Auto correct load option
  • Splitting the flow of data with the Case transform
  • Monitoring and analyzing dataflow execution