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Modernizing SAP Business Warehouse: A Strategic Guidance to Migrating to SAP Business Data Cloud (SAP Datasphere and SAP Analytics Cloud)

Name: Modernizing SAP Business Warehouse: A Strategic Guidance to Migrating to SAP Business Data Cloud (SAP Datasphere and SAP Analytics Cloud)
Author: Sourav Banerjee
ISBN: 9798868821929

by Sourav Banerjee

January 2026

Intermediate to advanced

262 pages

4h 55m

English

Apress

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Modernizing SAP Business Warehouse
Preface
Introduction
Acknowledgments
Table of Contents
About the Author
About the Technical Reviewer
1. SAP BW and HANA Evolution
1.1 A Journey Through Time1.2 New Functionalities1.3 Integrated Planning1.4 SAP Strategies1.5 Advantages of HANA1.6 Change in Coding Styles1.7 Test Your knowledge1.8 Summary
2. Datasphere
2.1 Data Builder Artifacts2.2 Business Builder2.3 Currency Conversion2.4 Command-Line Interface (CLI)2.5 Integration with Other SAP Applications2.5.1 SAP S/4 HANA Cloud2.5.2 SAP ARIBA2.5.3 SAP Concur2.5.4 SAP FIELDGLASS2.5.5 SAP Integrated Business Planning (IBP)2.6 BW Bridge2.6.1 Migration Process2.6.2 Import BW Bridge Objects to Datasphere2.7 Seamless Integration with SAP Analytics Cloud2.8 Test Your Knowledge2.9 Summary
3. SAP Analytics Cloud (SAC)
3.1 Features3.2 Currency Conversion3.3 A Guide for Scripting3.4 Test Your Knowledge3.5 Summary

4. SAC Planning and Datasphere
4.1 Planning Using SAC4.2 Seamless Planning4.3 Test Your Knowledge4.4 Summary
5. Business Data Cloud (BDC)
5.1 Architecture of Business Data Cloud5.2 Move BW to the Cloud5.3 AI with Databricks5.4 Test Your Knowledge5.5 Summary
6. Evolution of Artificial Intelligence
6.1 Introduction to AI in Analytics6.1.1 Understanding the result of training6.2 Deep Learning6.3 Test Your Knowledge6.4 Summary
7. Need for Modernization
7.1 Issues with the Current Landscape7.1.1 Scenario 17.1.2 Scenario 27.2 Innovation in the Analytics Space7.2.1 Types of Data Architecture7.2.2 Just Ask7.3 Test Your Knowledge7.4 Summary
8. Path of Adoption
8.1 Getting Started with the Modernization Journey8.1.1 Step 1: Introduce a New Component8.1.2 Step 2: Full Migration8.1.3 Step 3: BW Decommissioning8.2 Proof of Concept8.2.1 Scope and DeliverablesScopeDeliverables8.2.2 TimelineScope Finalization and WorkshopsDesignBuildTestingEnvironment PreparationDemonstration8.2.3 Next StepsDocumentationFeedback AnalysisEffortsPros and Cons8.3 Outcome of the POC8.4 Test Your Knowledge8.5 Summary
9. Project Planning
9.1 Prerequisites9.1.1 SAP Analytics Cloud Licenses9.1.2 Datasphere Capacity Unit Calculation9.1.3 SAP Analytics Cloud Capacity Unit Calculation9.1.4 SAP Databricks Capacity Unit Calculation9.2 Assessment for Scoping9.3 How to Plan9.4 Post-implementation9.5 Test Your Knowledge9.6 Summary
Appendix A: Interesting Facts
Appendix B: Test Your Knowledge: Answers
Appendix C: Supplemental Terms and Conditions for BDC
C.1 Core Capacity Unit MetricC.2 Datasphere Capacity UnitC.3 SAP BW PCE Capacity UnitC.4 SAP Analytics Cloud Capacity UnitC.5 SAP BW Capacity ServicesC.6 SAP Databricks Capacity ServicesC.7 Backup Strategy for SAP BWC.8 Incident Response Time
Index

Content preview from Modernizing SAP Business Warehouse: A Strategic Guidance to Migrating to SAP Business Data Cloud (SAP Datasphere and SAP Analytics Cloud)

S. BanerjeeModernizing SAP Business Warehousehttps://doi.org/10.1007/979-8-8688-2192-9_4

4. SAC Planning and Datasphere

Sourav Banerjee¹

(1)

Kolkata, West Bengal, India

SAP Analytics Cloud is a preferred planning and forecasting tool for many organizations. Those who are using IP/BPC can slowly move their planning artifacts into SAC. This not only provides planning capabilities but also supports integration with Datasphere. There are three types of scenarios in SAC planning in terms of data storage:

SAC stores the data: Here the planning data is fully stored in the planning model ...

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Modernizing SAP Business Warehouse: A Strategic Guidance to Migrating to SAP Business Data Cloud (SAP Datasphere and SAP Analytics Cloud)

by Sourav Banerjee

4. SAC Planning and Datasphere

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