Sap Data Services 4 X Cookbook

Author: Ivan Shomnikov
Publisher: Packt Publishing Ltd
ISBN: 9781782176572
Size: 18.54 MB
Format: PDF, ePub, Docs
View: 79

Delve into the SAP Data Services environment to efficiently prepare, implement, and develop ETL processes About This Book Install and configure the SAP Data Services environment Develop ETL techniques in the Data Services environment Implement real-life examples of Data Services uses through step-by-step instructions to perform specific ETL development tasks Who This Book Is For 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 Learn Install, configure, and administer the SAP Data Services components Run through the ETL design basics Maximize the performance of your ETL with the advanced patterns in Data Services Extract methods from various databases and systems Get familiar with the transformation methods available in SAP Data Services Load methods into various databases and systems Code with the Data Services scripting language Validate and cleanse your data, applying the Data quality methods of the Information Steward In Detail 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. Style and approach This book is an easy-to-follow guide with step-by-step instructions to perform specific ETL development tasks.

Mentopolis

Author: Marvin Lee Minsky
Publisher:
ISBN: 3608931171
Size: 16.39 MB
Format: PDF, Docs
View: 72

Computing Methodologies -- Artificial Intelligence.

Serverless Computing In Der Aws Cloud

Author: Niko Köbler
Publisher: entwickler.Press
ISBN: 9783868027808
Size: 18.46 MB
Format: PDF, Docs
View: 82

Serverless heißt das neue Trendthema im Bereich des Cloud Computing. Dabei meint Serverless nicht, dass man keine Server mehr benötigt. Es geht vielmehr darum, sich auf die Ausführung seines Codes auf der Ebene von einzelnen Funktionen zu konzentrieren und das Management von Serverinstanzen, Verfügbarkeit und Skalierbarkeit der Cloud zu überlassen. Zudem bezahlt man bei Serverless nur das, was man wirklich nutzt, nicht die bloße Bereitstellung oder Verfügbarkeit. Verwende Ressourcen, nicht Server oder Systeme. Infrastruktur ist implizit vorhanden. Das Buch führt in die Konzepte von Serverless Computing am Beispiel der AWS (Amazon Web Services) Cloud ein und beschreibt, wann der Einsatz von Serverless ein sinnvoller Lösungsansatz ist. AWS Lambda hat den Begriff Serverless geprägt, doch Serverless ist mehr als nur die Ausführung von Funktionen als Service (Function-as-a-Service, kurz FaaS). Auch in Richtung von API Gateways, Datenspeichern, Amazon DynamoDB und weitern Komponenten lässt sich Serverless denken. Praxisnahe Beispiele helfen beim Einstieg in die Serverless-Welt.