Data Management and Analytics with SAP BTP

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Beschreibung

How does SAP BTP help you create a cohesive enterprise data landscape? Find out in this book! Start by developing a cloud-based data strategy and learning how to assess and improve the quality of your data. Then walk through key SAP BTP functions for data and analytics: storing data with SAP HANA Cloud, data modeling and management with SAP Business Data Cloud, and data-driven decision-making with SAP Analytics Cloud. Get on the cutting edge with SAP BTP's AI tools, including SAP AI Core and Joule. With information on real-world scenarios like fraud detection and ethical supply chains, this is the guide you need!

Highlights include:

1)Data strategy

2) Data quality

3) Data storage

4) Data fabric

5) Master data management

6) SAP Analytics Cloud

7) SAP HANA Cloud

8) SAP Datasphere

9)SAP Business Data Cloud

10)SAP Master Data Governance, cloud edition

11)Artificial intelligence

12)Business scenarios

Highlights include:

1)Data strategy

2) Data quality

3) Data storage

4) Data fabric

5) Master data management

6) SAP Analytics Cloud

7) SAP HANA Cloud

8) SAP Datasphere

9)SAP Business Data Cloud

10)SAP Master Data Governance, cloud edition

11)Artificial intelligence

12)Business scenarios

Zusammenfassung

Homiar Kalwachwala is a senior consulting manager in the Data & Technology Services practice within Global Consulting Delivery at SAP. He is head of the Global Middleware Services practice and also leads the Master Data Governance and Enterprise Information Management practices in North America. He started his SAP career in 1996 in the partner ecosystem and has held various management roles in SAP since 2005. During the last 11 years, he has managed consulting groups for SAP MDM, SAP MDG, EIM, SAP Process Integration/Orchestration, AIF, mobility, and SAP BW.

Inhaltsverzeichnis

... Preface ... 15

... Who This Book Is For ... 16

... How This Book Is Organized ... 16

... Acknowledgments ... 21

... Conclusion ... 22

1 ... Introduction ... 25

1.1 ... Build, Run, and Optimize a Business ... 25

1.2 ... Challenges for Executives ... 30

1.3 ... Characteristics of a Successful, Data-Focused Organization ... 31

1.4 ... Data Strategy and Information Management Maturity Models ... 34

1.5 ... Data Integration ... 35

1.6 ... Data Tiers in SAP ... 45

1.7 ... SAP Business Technology Platform ... 52

1.8 ... SAP's Data and Analytics Portfolio ... 56

1.9 ... Enterprise Value and Data Fabric ... 63

1.10 ... Bringing Them Together with SAP ... 71

1.11 ... Summary ... 74

2 ... Data Strategy ... 77

2.1 ... Overview ... 78

2.2 ... Defining a Data Strategy ... 79

2.3 ... Data and Information Management Maturity Models ... 104

2.4 ... SAP's Advisory Methodologies ... 119

2.5 ... Summary ... 124

3 ... Overview of SAP Business Technology Platform ... 127

3.1 ... Fundamentals ... 128

3.2 ... Data and Analytics ... 139

3.3 ... Application Development ... 141

3.4 ... Integration ... 148

3.5 ... Automation ... 158

3.6 ... Artificial Intelligence ... 160

3.7 ... Use Cases ... 162

3.8 ... Summary ... 171

4 ... Data Quality ... 173

4.1 ... Introduction to Data Quality ... 174

4.2 ... Data Profiling Approach ... 203

4.3 ... Data Cleansing Approach ... 219

4.4 ... User Training and Enablement ... 250

4.5 ... Summary ... 254

5 ... Master Data Management ... 255

5.1 ... Overview ... 256

5.2 ... Key Features ... 262

5.3 ... Architecture and Deployment Models ... 282

5.4 ... Master Data Integration ... 292

5.5 ... Enabling a Business Data Fabric ... 293

5.6 ... User Training and Enablement ... 294

5.7 ... Summary ... 295

6 ... Data Storage with SAP HANA Cloud ... 297

6.1 ... Key Features ... 298

6.2 ... Use Cases ... 315

6.3 ... User Training and Enablement ... 317

6.4 ... Summary ... 320

7 ... Data Fabric with SAP Business Data Cloud ... 321

7.1 ... Architecture ... 322

7.2 ... SAP Business Data Cloud Cockpit ... 329

7.3 ... SAP Datasphere ... 331

7.4 ... SAP Business Warehouse and SAP BW/4HANA ... 345

7.5 ... SAP Databricks ... 347

7.6 ... SAP Analytics Cloud ... 350

7.7 ... Business Use Cases ... 353

7.8 ... Summary ... 359

8 ... Data-Driven Decision-Making with SAP Analytics Cloud ... 361

8.1 ... Introduction ... 362

8.2 ... SAP Analytics Cloud Capabilities ... 366

8.3 ... Decision-Making with SAP Analytics Cloud ... 391

8.4 ... Sharing, Collaborating, and Exporting ... 396

8.5 ... Business Content and Accelerators ... 398

8.6 ...

Details

Erscheinungsjahr:	2026
Fachbereich:	Datenkommunikation, Netze & Mailboxen
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Inhalt:	483 S.
ISBN-13:	9781493227297
ISBN-10:	1493227297
Sprache:	Englisch
Herstellernummer:	459/22729
Einband:	Gebunden
Autor:	Gehlot, Dhirendra Gericke, Jeff Gupta, Shibajee Dutta Isacc, Antony Kalwachwala, Homiar Markham, Rick Munshi, Asim Sam, Chris
Hersteller:	Rheinwerk Verlag GmbH Rheinwerk Publishing Inc.
Verantwortliche Person für die EU:	Rheinwerk Verlag GmbH, Rheinwerkallee 4, D-53227 Bonn, service@rheinwerk-verlag.de
Maße:	261 x 183 x 29 mm
Von/Mit:	Dhirendra Gehlot (u. a.)
Erscheinungsdatum:	11.07.2026
Gewicht:	1,014 kg