Author: | Ivan Shomnikov | ISBN: | 9781782176572 |
Publisher: | Packt Publishing | Publication: | July 29, 2016 |
Imprint: | Packt Publishing | Language: | English |
Author: | Ivan Shomnikov |
ISBN: | 9781782176572 |
Publisher: | Packt Publishing |
Publication: | July 29, 2016 |
Imprint: | Packt Publishing |
Language: | English |
Delve into the SAP Data Services environment to efficiently prepare, implement, and develop ETL processes
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.
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.
This book is an easy-to-follow guide with step-by-step instructions to perform specific ETL development tasks.
Delve into the SAP Data Services environment to efficiently prepare, implement, and develop ETL processes
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.
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.
This book is an easy-to-follow guide with step-by-step instructions to perform specific ETL development tasks.