SAP Data Services 4.x Cookbook
Om den här e-boken
This book is for IT technical engineers who want to get familiar with the EIM solutions provided by SAP for ETL development and data quality management. The book requires familiarity with basic programming concepts and basic knowledge of the SQL language.
What You Will LearnInstall, configure, and administer the SAP Data Services componentsRun through the ETL design basicsMaximize the performance of your ETL with the advanced patterns in Data ServicesExtract methods from various databases and systemsGet familiar with the transformation methods available in SAP Data ServicesLoad methods into various databases and systemsCode with the Data Services scripting languageValidate and cleanse your data, applying the Data quality methods of the Information StewardIn DetailWant 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.
Style and approachThis book is an easy-to-follow guide with step-by-step instructions to perform specific ETL development tasks.
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Om författaren
Ivan Shomnikov is an SAP analytics consultant specializing in the area of Extract, Transform, and Load (ETL). He has in-depth knowledge of the data warehouse life cycle processes (DWH design and ETL development) and extensive hands-on experience with both the SAP Enterprise Information Management (Data Services) technology stack and the SAP BusinessObjects reporting products stack (Web Intelligence, Designer, Dashboards). Ivan has been involved in the implementation of complex BI solutions on the SAP BusinessObjects Enterprise platform in major New Zealand companies across different industries. He also has a strong background as an Oracle database administrator and developer.
