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

Creating a target data object

A target data object is the object to which we send the data within a dataflow. There are a few different types of target data objects, but the two main ones are tables and flat files. In this recipe, we will take a look at a target table object.


Views imported into a datastore cannot be target objects within a dataflow. They can only be a source of data.

Getting ready

To prepare for this recipe, we need to create a table in our STAGE database. To do that, please connect to SQL Server Management Studio and create the Person table in the STAGE database using the following command:

  FirstName varchar(50),
  LastName varchar(50),
  Age integer

This table will be used as a target table, which we will load data into by using Data Services. We will use the data stored in the Person table from the OLTP database as the source data to be loaded.

How to do it…

  1. Open the Data Services Designer application.

  2. In the DS_STAGE datastore, right-click...