Overview

Learn how to effectively manage your data with the tools in SAP's EIM offering. From SAP Data Services to the latest solutions like SAP Power Designer, you'll learn what the different solutions are and how they work together. Then, get started using them for common tasks with the help of step-by-step instructions and guiding screenshots. This is the resource you need to make sure your enterprise is sitting on a solid foundation - of clean data! Information on SAP's EIM Offerings: Find detailed information on SAP's different EIM solutions to learn what they can do for you. In addition, see real-world, practical examples of these tools in use. Step-by-Step Instructions: Get to know each EIM tool. Explore the steps you need to use the solutions for the most common tasks, and use the accompanying screenshots to make sure you're on track. The Classics and the Newcomers: From SAP Data Services and SAP Information Steward to new topics like SAP HANA Cloud Integration and SAP Power Designer, find what you need to get started. Highlights: Information governance Data migration and archiving SAP EIM portfolio SAP HANA and Hadoop Rapid-deployment solutions SAP Data Services SAP Master Data Governance SAP HANA Cloud Integration SAP PowerDesigner SAP Information Steward SAP Information Lifecycle Management

Full Product Details

Author:   Corrie Brague ,  Ryan Champlin ,  Frank Densborn ,  David Dichmann
Publisher:   SAP Press
Imprint:   SAP Press
Edition:   Second Edition
Dimensions:   Width: 17.50cm , Height: 4.10cm , Length: 22.90cm
Weight:   1.293kg
ISBN:  

9781493210459

ISBN 10:   1493210459
Pages:   605
Publication Date:   28 September 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock  
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Table of Contents

Introduction PART I SAP's Enterprise Information Management Strategy and Portfolio 1. Introducing Enterprise Information Management 1.1 Defining Enterprise Information Management 1.2 Common Use Cases for EIM 1.3 Common Drivers for EIM 1.4 Impact of Big Data on EIM 1.5 SAP's Strategy for EIM 1.6 Typical User Roles in EIM 1.7 Example Company: NeedsEIM Inc. 1.8 Summary 2. Introducing Information Governance 2.1 Introduction to Information Governance 2.2 Evaluating and Developing Your Information Governance Needs and Resources 2.3 Optimizing Existing Infrastructure and Resources 2.4 Establishing an Information Governance Process: Examples 2.5 Rounding Out Your Information Governance Process 2.6 Summary 3. Big Data with SAP HANA, Hadoop, and EIM 3.1 SAP HANA 3.2 SAP HANA and EIM 3.3 Big Data and Hadoop 3.4 SAP HANA and Hadoop 3.5 EIM and Hadoop 3.6 Summary 4. SAP's Solutions for Enterprise Information Management 4.1 SAP PowerDesigner 4.2 SAP HANA Cloud Integration 4.3 SAP Data Services 4.4 SAP Replication Server 4.5 SAP Data Quality Management, Version for SAP Solutions 4.6 SAP Information Steward 4.7 SAP NetWeaver Master Data Management and SAP Master Data Governance 4.8 SAP Solutions for Enterprise Content Management 4.9 SAP Information Lifecycle Management 4.10 Information Governance in SAP 4.11 Needs EIM Inc. and SAP's Solutions for EIM .4.12 Summary 5. Rapid-Deployment Solutions for Enterprise Information Management 5.1 Rapid-Deployment Solutions for Data Migration Rapid-Deployment Content 5.2 Rapid-Deployment Solutions for Information Steward 5.3 Rapid-Deployment Solutions for Master Data Governance 5.4 Summary 6. Practical Examples of EIM 6.1 EIM Architecture Recommendations and Experiences by Procter and Gamble 6.2 Managing Data Migration Projects to Support Mergers and Acquisitions 6.3 Evolution of SAP Data Services at National Vision 6.4 Recommendations for a Master Data Program 6.5 Recommendations for Using SAP Process Integration and SAP Data Services 6.6 Ensuring a Successful Enterprise Content Management Project by Belgian Railways 6.7 Recommendations for Creating an Archiving Strategy 6.8 Summary PART II Working with SAP's Enterprise Information Management Solutions 7. SAP PowerDesigner 7.1 SAP PowerDesigner in the SAP Landscape 7.2 Defining and Describing Business Information with the Enterprise Glossary 7.3 The Conceptual Data Model 7.4 Detailing Information Systems with Logical and Physical Data Models 7.5 Canonical Data Models, XML Structures, and Other Datastores 7.6 Data Warehouse Modeling: Movement and Reporting 7.7 Link and Sync for Impact Analysis and Change Management 7.8 Comparing Models 7.9 Summary 8. SAP HANA Cloud Integration 8.1 SAP HANA Cloud Integration Architecture 8.2 Getting Started with SAP HANA Cloud Integration 8.3 Summary 9. SAP Data Services 9.1 Data Integration Scenarios 9.2 SAP Data Services Platform Architecture 9.3 SAP Data Services Designer Overview 9.4 Creating Data Sources and Targets 9.5 Creating Your First Job 9.6 Basic Transformations Using the Query Transform and Functions 9.7 Overview of Complex Transformations 9.8 Executing and Debugging Your Job 9.9 Exposing a Real-Time Service 9.10 Data Quality Management 9.11 Text Data Processing 9.12 Summary 10. SAP Information Steward 10.1 Cataloging Data Assets and Their Relationships 10.2 Establishing a Business Term Glossary 10.3 Profiling Data 10.4 Assessing the Quality of Your Data 10.5 Monitoring with Data Quality Scorecards 10.6 Quick Starting Data Quality 10.7 Summary 11. SAP Master Data Governance 11.1 SAP Master Data Governance Overview 11.2 Getting Started with SAP Master Data Governance 11.3 Governance for Custom-Defined Objects: Example 11.4 Rules-Based Workflows in SAP Master Data Governance 11.5 NeedsEIM Inc.: Master Data Remediation 11.6 Summary 12. SAP Information Lifecycle Management 12.1 The Basics of Information Lifecycle Management 12.2 Overview of SAP Information Lifecycle Management 12.3 Managing the Lifecycle of Information in Live Systems 12.4 Managing the Lifecycle of Information from Legacy Systems 12.5 System Decommissioning: Detailed Example 12.6 Summary 13. SAP Extended Enterprise Content Management by OpenText 13.1 Capabilities of SAP Extended ECM 13.2 How SAP Extended ECM Works with the SAP Business Suite 13.3 Integration Content for SAP Business Suite and SAP Extended ECM 13.4 Summary The Authors Index

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Author Information

Corrie Brague is the director of Data Quality Product Managementfor SAP, where she defines software solutions thathelp businesses assess, improve, and monitor their dataquality. She participates in ASUG and works with a broadrange of customers and partners to support market-drivenproduct direction, as well as enhance the insight of the customerand market space within the development organization.She has more than 15 years of experience in data qualityand mail automation software solutions gained throughpositions in software engineering, project management, development management, and product management. Ryan Champlin has more than 14 years of experience in thefield of information management, having worked withinboth engineering and product management organizations. At Business Objects and SAP, he played an instrumental role as a product manager on the industry's first single platformfor data quality and data integration: SAP Data Services. He currently works as the director of engineering within theSAP HANA team at SAP, where he is responsible for drivingnew innovations on the SAP HANA platform around informationmanagement and the data quality management solutions for various SAP applications (e.g., SAP ERP, SAP CRM, and SAP MDG). David Dichmann is director of product management for SAP's enterprise architecture and modeling tool, PowerDesigner. David manages the product management team, driving next-generation modeling and architecture. David has more than 24 years of industry experience in both technical and business roles, working with small, start-up, and established businesses. David has been published in industry magazines and is a regular speaker at industry events. Ina Felsheim is a director of solution management for SAP's EIM products. She has been with SAP since 1997, and currently works on information governance and end-to-end use scenarios. She has managed a diverse set of EIM productsand is the SAP point person for both the Data Governanceand Data Management SIGs, as well as the EIM InfluenceCouncil. George Keller holds a BS degree in technical management and has more than 20 years of experience in the field of information management, having worked within engineering, business applications, and product management organizations. He has also served as a professional delivery project manager for a number of Fortune 100 clients. He has extensive experience in cloud integration, master data management,data warehousing, ERP, finance, and customer relationship management. At SAP, he served as a product manager for SAP HANA Cloud Integration for data services and served as an expert consultant and evangelist for master data services. Markus Kuppe is vice president and chief solution architect for SAP Master Data Governance. Since joining SAP development in 1997, he led various programs across the SAP Business Suite in topics such as reporting, user experience, or architecture; always in close collaboration with customers. He is a frequent author and speaker at business events. Markus holds a degree with distinction in mathematics (Dipl. Math.) from the University of Darmstadt, Germany. Philip On is an industry veteran for Enterprise Information Management with more than 13 years of experience on thistopic working for SAP, Business Objects, and Oracle. He is currently the senior director of marketing at SAP, and is responsible for the entire EIM portfolio, as well as strategy and solutions for the cloud. Helmut Stefani studied applied linguistics at the Johannes Gutenberg University in Mainz/Germersheim, Germany, where he graduated as a technical translator for English and Spanish. After working in England he returned to Germany to work for an American company as a CAD software localization specialist. He has worked at SAP as an information developer and product management specialist in data archiving since 1997, and has jointly authored several publications on this subject.

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