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SAP Data Services (SAP Press)

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en Limba Engleză Carte Hardback – 23 Apr 2015
It's time to extract, transform, and load your skills on managing enterprise data! With this book on SAP Data Services, you'll be an expert in no time. After learning about topics like planning, blueprinting, and integrating SAP Data Services, you'll get into the core of the book - detailed steps on how to perform Data Services tasks. Get the skills you need for your daily job, from basic tasks like designing objects, to advanced duties like analyzing unstructured text. Starting with Data Services Set up your Data Services foundation. Learn how to plan for Data Services in your organization, then how to install, configure, and get working with it. Data Services Tasks Regardless of your skillset, you'll find essential information on the tasks you'll encounter when working with Data Services. Learn how to architect jobs with performance, transparency, supportability, and cost in mind. Integration Data Services plays well with others. This book explores two common integration scenarios: data warehousing and retail environments. Learn how to overcome common challenges and see frequently used scenarios. Highlights: Data Services architecture and OS Enterprise information management Installation: Windows and Linux Configuration Troubleshooting Data Services objects Datastores Data Services scripting language Social media analytics Information Steward Integration: data warehousing and retail
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Specificații

ISBN-13: 9781493211678
ISBN-10: 1493211676
Pagini: 524
Dimensiuni: 182 x 236 x 38 mm
Greutate: 1.12 kg
Editura: Rheinwerk Verlag GmbH
Seria SAP Press


Notă biografică

Bing Chen leads the Advanced Analytics practice at Method360 and has over 18 years of experience in IT consulting, from custom application development to data integration, data warehousing, and business analytics applications on multiple database and BI platforms. He specializes in advanced analytics and data processing technologies such as in-memory SAP HANA, column-oriented and cloud databases, Apache Hadoop, predictive analysis, data visualization, and data integration platforms such as SAP Data Services. He speaks on a regular basis at SAP and other industry conferences. Bing lives in San Francisco, California, with his wife and two children.

Cuprins



... Acknowledgments ... 15



... Introduction ... 17



PART I ... Installation and Configuration ... 21



1 ... System Considerations ... 23



1.1 ... Building to Fit Your Organization ... 23

1.2 ... Operating System Considerations ... 36

1.3 ... File System Settings ... 41

1.4 ... Network ... 45

1.5 ... Sizing Appropriately ... 45

1.6 ... Summary ... 55



2 ... Installation ... 57



2.1 ... SAP BusinessObjects Business Intelligence Platform and Information Platform Services ... 57

2.2 ... Repositories ... 64

2.3 ... Postal Directories ... 74

2.4 ... Installing SAP Server Functions ... 82

2.5 ... Configuration for Excel Sources in Linux ... 84

2.6 ... SAP Information Steward ... 89

2.7 ... Summary ... 90



3 ... Configuration and Administration ... 91



3.1 ... Server Tools ... 91

3.2 ... Set Up Landscape Components ... 132

3.3 ... Security and Securing Sensitive Data ... 140

3.4 ... Path to Production ... 150

3.5 ... Operation Readiness ... 157

3.6 ... How to Troubleshoot Execution Exceptions ... 166

3.7 ... Summary ... 172



PART II ... Jobs in SAP Data Services ... 173



4 ... Application Navigation ... 175



4.1 ... Introduction to Data Services Object Types ... 175

4.2 ... Hypothetical Work Request ... 177

4.3 ... Data Services Designer ... 180

4.4 ... Data Services Workbench ... 190

4.5 ... Summary ... 205



5 ... Objects ... 207



5.1 ... Jobs ... 208

5.2 ... Workflow ... 217

5.3 ... Logical Flow Objects ... 222

5.4 ... Data Flows ... 223

5.5 ... Transforms ... 231

5.6 ... Datastores ... 299

5.7 ... File Formats ... 309

5.8 ... Summary ... 327



6 ... Variables, Parameters, and Substitution Parameters ... 329



6.1 ... Substitution Parameters ... 331

6.2 ... Global Variables ... 335

6.3 ... Variables ... 336

6.4 ... Local Variables ... 337

6.5 ... Parameters ... 339

6.6 ... Example: Variables and Parameters in Action ... 340

6.7 ... Summary ... 342



7 ... Programming with SAP Data Services Scripting Language and Python ... 343



7.1 ... Why Code? ... 343

7.2 ... Functions ... 345

7.3 ... Script Object ... 349

7.4 ... Coding within Transform Objects ... 352

7.4.1 ... User-Defined Transforms ... 352

7.4.2 ... SQL Transform ... 356

7.5 ... Summary ... 357



8 ... Change Data Capture ... 359



8.1 ... Comparing CDC Types ... 360

8.2 ... CDC Design Considerations ... 362

8.3 ... Source-Based CDC Solutions ... 363

8.4 ... Target-Based CDC Solution ... 372

8.5 ... Timestamp CDC Process ... 376

8.6 ... Summary ... 379



PART III ... Applied Integrations and Design Considerations ... 381



9 ... Social Media Analytics ... 383



9.1 ... The Use Case for Social Media Analytics ... 384

9.2 ... The Process of Structuring Unstructured Data ... 387

9.3 ... The Entity Extraction Transform ... 394

9.4 ... Approach to Creating a Social Media Analytics Application ... 404

9.5 ... Summary ... 411



10 ... Design Considerations ... 413



10.1 ... Performance ... 414

10.2 ... Simplicity ... 426

10.3 ... Summary ... 427



11 ... Integration into Data Warehouses ... 429



11.1 ... Kimball Methodology ... 430

11.2 ... Hadoop and SAP HANA ... 451

11.3 ... Summary ... 454



12 ... Industry-Specific Integrations ... 455



12.1 ... Retail: Facilitating Customer Loyalty ... 455

12.2 ... Distribution: SAP BW/SAP APO Integration with SAP ECC ... 465

12.3 ... Summary ... 473



PART IV ... Special Topics ... 475



13 ... SAP Information Steward ... 477



13.1 ... Match Review ... 477

13.2 ... Cleansing Package Builder ... 490

13.3 ... Metadata Management ... 496

13.4 ... Summary ... 498



14 ... Where Is SAP Data Services Headed? ... 499



14.1 ... The Key Themes for SAP Data Services ... 500

14.2 ... The State of the State ... 501

14.3 ... Beyond SP03 ... 504

14.4 ... Help Shape the Future of Data Services ... 505

14.5 ... Summary ... 508



... The Authors ... 509



... Index ... 513