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

Using validation functions with the Validation transform

This recipe will demonstrate how validation functions are deployed and configured within a dataflow. As the validation function that we created in the previous recipe validates city values, we will deploy it in the DF_Extract_Address dataflow object to perform the validation of data extracted from the Address table located in the source OLTP database.

Getting ready

Open the job-containing dataflow, DF_Extract_Address, already created in the Use case example – populating dimension tables recipe in Chapter 5, Workflow – Controlling Execution Order, and copy it into a new job to be able to execute it as a standalone process.

How to do it…

  1. Open DF_Extract_Address in the main workspace for editing.

  2. Go to Local Object Library | Transform, find the Validation transform under Platform, and drag it into the DF_Extract_Address dataflow right after the Query transform.

  3. Link the output of the Query transform to the Validation transform and double-click...