Enterprise Information Management with SAP

28.05.2012

Englisch

9781592294145

Rheinwerk Publishing

SAP PRESS Englisch

Nein

Ginger Gatling

504

1

Gebundene Ausgabe

Hadoop, Data migration, HANA, Master data governance, Lifecycle management, EIM, Master data management, Data Services, Enterprise information management, Information Steward

. Foreword. 17 . Preface. 19 PART I. SAP's Enterprise Information Management Strategy and Portfolio. 25 1. Introducing Enterprise Information Management. 27 . 1.1. Defining Enterprise Information Management. 28 . 1.2. Common Use Cases for EIM. 36 . 1.3. Common Drivers for EIM. 40 . 1.4. Impact of Big Data on EIM. 45 . 1.5. SAP's Strategy for EIM. 48 . 1.6. Typical User Roles in EIM. 50 . 1.7. Example Company: NeedsEIM, Inc. 51 . 1.8. Summary. 53 2. Introducing Information Governance. 55 . 2.1. Introduction to Information Governance. 56 . 2.2. Evaluating and Developing Your Information Governance Needs and Resources. 58 . 2.3. Optimizing Existing Infrastructure and Resources. 63 . 2.4. Establishing an Information Governance Process: Examples. 65 . 2.5. Rounding Out Your Information Governance Process. 75 . 2.6. Summary. 80 3. Big Data with SAP HANA and Hadoop. 81 . 3.1. SAP HANA. 81 . 3.2. SAP HANA and EIM. 86 . 3.3. Big Data and Hadoop. 88 . 3.4. SAP HANA and Hadoop. 99 . 3.5. EIM and Hadoop. 100 . 3.6. Summary. 102 4. SAP's Solutions for Enterprise Information Management. 103 . 4.1. SAP Data Services as a Data Foundation. 106 . 4.2. SAP Information Steward. 118 . 4.3. SAP NetWeaver Master Data Management and SAP Master Data Governance. 126 . 4.4. SAP Solutions for Enterprise Content Management. 130 . 4.5. SAP NetWeaver Information Lifecycle Management. 142 . 4.6. SAP Solutions for Data Migration. 150 . 4.7. Information Governance in SAP. 156 . 4.8. NeedsEIM, Inc. and SAP's Solutions for EIM. 162 . 4.9. Summary. 163 5. Practical Examples of EIM. 165 . 5.1. EIM Architecture Recommendations and Experiences by Procter and Gamble. 165 . 5.2. Managing Data Migration Projects to Support Mergers and Acquisitions. 184 . 5.3. Evolution of SAP Data Services at National Vision. 192 . 5.4. Recommendations for a Master Data Program. 198 . 5.5. Recommendations for Using SAP NetWeaver Process Integration and SAP Data Services. 201 . 5.6. Ensuring a Successful Enterprise Content Management Project by Belgian Railways. 206 . 5.7. Recommendations for Creating an Archiving Strategy. 216 . 5.8. Summary. 220 PART II. Working with SAP's Enterprise Information Management Solutions. 25 6. Getting to Know Your Data with SAP Information Steward. 223 . 6.1. Cataloging Data Assets and Their Relationships. 224 . 6.2. Profiling Data. 228 . 6.3. Monitoring and Assessing the Quality of Your Data. 239 . 6.4. Summary. 250 7. Introducing SAP Data Services. 251 . 7.1. Data Integration Scenarios. 252 . 7.2. SAP Data Services Platform Architecture. 253 . 7.3. SAP Data Services Designer Overview. 259 . 7.4. Creating Data Sources and Targets. 263 . 7.5. Creating Your First Job. 268 . 7.6. Basic Transformations Using the Query Transform and Functions. 272 . 7.7. Overview of Complex Transformations. 275 . 7.8. Executing and Debugging Your Job. 280 . 7.9. Exposing a Real-Time Service. 281 . 7.10. SAP Data Services and SAP HANA. 287 . 7.11. Summary. 288 8. Managing Data Quality with SAP Data Services. 289 . 8.1. Data Cleansing. 291 . 8.2. Data Enhancement. 313 . 8.3. Data Matching. 315 . 8.4. Other Important Data Quality Capabilities. 333 . 8.5. Summary. 337 9. Monitoring Data Quality with Scorecards in SAP Information Steward. 339 . 9.1. Components of a Data Quality Scorecard. 340 . 9.2. Defining and Setting Up a Data Quality Scorecard. 343 . 9.3. Viewing the Data Quality Scorecard. 349 . 9.4. Identifying Data Quality Issue Impact or Data Quality Root Causes in the System Landscape. 352 . 9.5. Summary. 355 10. Processing Text Data with SAP Data Services. 357 . 10.1. Introduction to Text Data Processing Capabilities in SAP Data Services. 359 . 10.2. Text Data Processing and NeedsEIM, Inc. 364 . 10.3. Summary. 372 11. Migrating Data with SAP Data Services. 373 . 11.1. Introduction to Data Migration. 373 . 11.2. Data Migration Content Delivered by SAP Best Practices and Rapid Deployment Solutions. 375 . 11.3. Migrating Customer Data to SAP ERP. 379 . 11.4. Systems Migration. 383 . 11.5. Summary. 384 12. Introducing SAP Master Data Governance. 385 . 12.1. SAP Master Data Governance Overview. 386 . 12.2. Getting Started with SAP Master Data Governance. 392 . 12.3. Governance for Custom-Defined Objects: Example. 400 . 12.4. Rule-Based Workflows in SAP Master Data Governance. 409 . 12.5. NeedsEIM, Inc.: Master Data Remediation. 420 . 12.6. Summary. 422 13. Introducing SAP NetWeaver Information Lifecycle Management. 423 . 13.1. The Basics of Information Lifecycle Management. 425 . 13.2. Overview of SAP NetWeaver Information Lifecycle Management. 426 . 13.3. Managing the Lifecycle of Information in Live Systems. 436 . 13.4. Managing the Lifecycle of Information from Legacy Systems. 441 . 13.5. System Decommissioning--Detailed Example. 447 . 13.6. Summary. 466 14. Introducing SAP Extended Enterprise Content Management by OpenText. 467 . 14.1. Capabilities of SAP Extended ECM. 469 . 14.2. How SAP Extended ECM Works with the SAP Business Suite. 474 . 14.3. Integration Content for SAP Business Suite and SAP Extended ECM. 476 . 14.4. Summary. 485 . The Authors. 487 . Index. 495

229 mm

17.5 cm