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SAP + Databricks: Real-Time Insights Without Replication — Unlocking AI with Business Data Cloud
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n this episode, we dive deep into SAP’s strategic integration with Databricks—powered by SAP Business Data Cloud (BDC)—to explore how enterprises are unlocking AI, machine learning, and real-time analytics on top of their most critical business data without costly data replication.
We’ll break down:
- What SAP Business Data Cloud is and why it matters
- How Delta Sharing enables zero-copy, bidirectional access between SAP and Databricks
- The pros, cons, and cost structures of different integration models—from BDC-native to JDBC and Kafka
- The latest updates from SAP Sapphire 2024, including cloud discounts and partner ecosystem growth
- Key cost drivers like egress fees, and how to optimize cloud region placement to save big
- Strategic recommendations, including hybrid architectures and real-world use cases across ERP, AI, and real-time streaming
- Why governance and compliance (e.g., GDPR, Unity Catalog) must be part of your data architecture from day one
If you’re a data architect, SAP lead, or AI/analytics executive evaluating SAP-Databricks integration, this episode will give you the practical insights and strategic playbook to deploy a scalable, secure, and cost-efficient solution that actually delivers business value.
Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.
Connect with Us:
- Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
- Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.
Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!
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