Databricks Handbook for SAP Business Data Cloud
Description
This book provides a comprehensive and practical guide to implementing, governing, and using SAP Databricks within the SAP Business Data Cloud (BDC) ecosystem. Designed for enterprise architects, data engineers, analytics professionals, and SAP practitioners, it bridges the gap between traditional SAP data platforms and modern data engineering and machine learning capabilities offered by Databricks. Starting with a clear introduction to Databricks and its collaborative architecture, the book explains how Enterprise Databricks and SAP Databricks differ and how SAP's native integration enables secure, scalable, and governed data processing directly on SAP data. Readers are guided through essential foundation topics such as Single Sign-On (SSO), authorization models, and end-to-end data governance, ensuring they understand how identity, access, and compliance are enforced across the BDC landscape.
The book then dives into the core technical capabilities that make SAP Databricks powerful, including Zero Copy architecture, Delta Sharing, Unity Catalog, and serverless SQL warehouses. It demonstrates how data products can be created, governed, and consumed efficiently while maintaining security and lineage. Practical connectivity patterns show how SAP and non-SAP data sources can be integrated seamlessly for advanced analytics and AI workloads.
Beyond architecture and setup, the book brings everything together through realistic machine learning use cases, scenario-based implementations, and end-to-end workflows from data preparation to model execution and outbound consumption in SAP Datasphere. The final chapters focus on user experience, operational best practices, and hands-on assignments, enabling readers to apply what they've learned directly within their own BDC tenants.
By the end of this book, readers will have a clear, actionable understanding of how to use SAP Databricks to build secure, governed, and intelligent data and AI solutions on SAP's Business Data Cloud platform.
You Will:
- Configure Single Sign-On (SSO) and implement secure authentication within the BDC environment
- Design and manage authorization models to protect sensitive business data and meet compliance requirements
- Apply Zero Copy architecture and Delta Sharing to enable secure, efficient data access
This book is for : SAP professionals, data engineers, data architects, analytics consultants, and enterprise IT leaders
More details
Person
Sourav Banerjee is a certified SAP BDC Architect and Blackbelt expert with more than 18 years of experience in different SAP Analytics Products. He has played the role of Solution Architect and Pre-sales Lead for many Europe/UK/US-based customers. With rich experience in terms of delivering complex implementation programs and leading the design for complex analytics ecosystems, he always ran after excellence. He has great interest in preparing technical documentations and to deep-dive into new product roadmaps/functionalities. Although he has been involved in technical design and coding, he has a strategic mindset to see the holistic picture of the entire landscape. His focus area is deep consulting and solution preparation for customer demonstrations in SAP BDC, Datasphere and SAC. Technically, he is an expert in SAP BW/4 HANA, Enterprise HANA modelling, S/4 HANA Analytics, SAP BDC, SAP Analytics Cloud, SAP Datasphere, SLT and Business Objects.
Content
Chapter 1: Introduction.- Chapter 2: Enterprise Databricks vs. BDC Databricks.- Chapter 3: Set up SSO.- Chapter 4: Authorization set up.- Chapter 5: Zero copy.- Chapter 6: Data Product usage in SAP Databricks.- Chapter 7: Governance using Unity Catalog.- Chapter 8: Connectivity.- Chapter 9: Serverless SQL warehouse.- Chapter 10: ML use cases.- Chapter 11: Scenario Preparation.- Chapter 12: Outbound consumption in Datasphere.- Chapter 13: User Interface.- Chapter 14: Usage guideline.- Chapter 15: Assignments.