SAP Databricks Decoded: Powering Enterprise AI on Trusted SAP Data
What the SAP + Databricks Partnership Means for Your Data & AI Stack
SAP and Databricks have joined forces inside SAP Business Data Cloud. Understand the architecture, see real use cases, and find out what skills your team needs next — straight from a Databricks specialist trainer.
About This Webinar
SAP holds the most business-critical data in most enterprises — finance, supply chain, HR, procurement, and operations. Databricks is the leading platform for AI, machine learning, and data engineering. Now the two are directly connected, with SAP Databricks running natively inside SAP Business Data Cloud.
For data engineers, architects, and AI teams, this changes how enterprise data platforms should be designed. For SAP professionals, it opens a path into AI and data engineering. For technology leaders, it raises new questions about tooling, skills, and where to invest next.
This session breaks down what SAP Databricks actually is, how it works, where it’s being used, and what skills are becoming valuable as a result.
What You’ll Walk Away With
- Understand the SAP + Databricks Partnership — Why it happened and what it signals about enterprise data platform direction.
- See the Architecture — How SAP Business Data Cloud, Delta Sharing, and Databricks workspaces fit together.
- Explore Real Use Cases — Automated forecasting, LLM fine-tuning on enterprise data, and BI reporting.
- Identify the New Skills Gap — What SAP professionals, data engineers, and AI teams each need to learn.
- Get a Starting Point — A practical way to begin building on SAP Databricks, whichever side of the stack you come from.
Who Should Attend
Data Engineers & Architects
Working with SAP today, or planning to bring Databricks into an SAP-centric environment.
Databricks Users
Who want to understand how the SAP integration changes what’s possible with SAP data.
AI & ML Leads
Evaluating enterprise data platforms for their next AI initiative.
SAP Consultants & Functional Teams
Looking to expand into data engineering and AI as SAP’s own ecosystem moves that way.
L&D and Technology Leaders
Scoping upskilling plans for data and AI teams working with SAP.
No prior Databricks experience is required.
90-Minute Agenda
- Why SAP and Databricks partnered
- What it signals about enterprise data platforms
- Where SAP Databricks fits in the AI landscape
- SAP Business Data Cloud overview
- Zero-copy Delta Sharing explained
- Accessing SAP data products from a Databricks workspace
- Serverless compute and what it means operationally
- Automated forecasting on SAP data
- Fine-tuning LLMs on enterprise-specific data
- BI reporting and SQL analytics
- Exploratory data analysis and notebooks
- What SAP professionals need to learn to work with Databricks
- What Databricks/data teams need to understand about SAP data models
- Where most teams are starting from today
- A practical 90-day learning approach
- Open floor for architecture and adoption questions
- Key takeaways
- Where to go next
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Want to Go Deeper Than 90 Minutes?
Optimistik runs structured Databricks training programs for enterprise data and AI teams. This webinar is a preview of what a full program covers.