Book Image

SAP Data Services 4.x Cookbook

By : Shomnikov
Book Image

SAP Data Services 4.x Cookbook

By: Shomnikov

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

Loading data into a flat file

This recipe will teach you how to export information from a table into a flat file using Data Services.

Flat files are a popular choice when you need to store data externally for backup purposes or in order to transfer and feed it into another system or even send to another company.

The simplest file format usually describes a list of columns in specific order and a delimiter used to separate field values. In most cases, it's all you need. As you will see a bit later, Data Services has many extra configuration options available in the File Format object, allowing you to load the contents of the flat files into a database or export the data from a database table to a delimited text file.

How to do it…

  1. Create a new dataflow and use the EMPLOYEE table from the OLTP datastore imported earlier as a source object.
  2. Link the source table with a Query transform and drag - and - drop all source columns to the output schema for mapping configuration.
  3. In the Query...