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

Reporting data validation results

One of the advantages of using the Validation transform is that Data Services provides the reporting functionality which is based on validation statistics and collected sample data during validation processes.

Validation reports can be viewed in the Data Services Management Console. In this recipe, we will learn how to collect data for validation reports and access them in the Data Services Management Console.

Getting ready

Use the same job and dataflow, DF_Extract_Address, updated with the Validation transform as in the previous recipes of the current chapter.

How to do it…

  1. Open the dataflow DF_Extract_Address and double-click on the Validation transform object to open it for editing.


    To be able to use Data Services validation reports, the validation statistics collection has to be enabled first for a Validation transform object in the ETL code structure that you want to collect the reporting data for.

  2. Open the Validation Transform Options tab in the Validation...