May 28, 2026
As data volumes grow and analytics demands become more advanced, many organizations begin to hit the limits of traditional data architectures.
Standard reporting and modeling tools are powerful — but they aren’t always designed for large-scale data engineering, machine learning, or complex transformations across diverse data sources.
So how do you know when it’s time to extend your data strategy?
In this session, we’ll explore how organizations are expanding their data capabilities by integrating SAP Business Data Cloud with Databricks to support advanced analytics, AI, and large-scale data processing.
You’ll gain a clear understanding of where traditional tools reach their limits — and where Databricks adds measurable value.
What You’ll Learn
- When traditional data architectures start to fall short
- Where advanced data engineering and large-scale processing are required
- How to support predictive analytics and AI/ML use cases
- How to integrate SAP and non-SAP data sources at scale
- How Databricks fits into your broader data and analytics strategy
Who Should Attend
- Data & analytics leaders
- Enterprise architects
- FP&A and advanced analytics teams
- SAP Datasphere / BW users exploring next steps
If you’re evaluating how to scale your data strategy to support advanced analytics and AI — this session will help you define the path forward.
Register Now!
May 28th, 2026, 11AM CST
Duration: 45 Min
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