Databricks data intelligence day
Practical information:
After a highly successful first edition, we’re excited to bring back our Databricks Data Intelligence Day. Join us for an in-person, hands-on experience where you’ll see the Databricks Data Intelligence Platform in action. Explore architecture, cost, and governance in real time, discuss AI and BI use cases with our experts, and walk away with a clear, executive-level roadmap for turning Databricks into tangible business value.This is not your typical, sales-driven session. No slides, no distractions, just live technology at your fingertips.
Agenda
09:00 - 09:30: Welcome & Breakfast
-Registration, introductions, and light breakfast
09:30 - 10:15: Introduction to the Azure Databricks Lakehouse
-Strategic overview: Simplifying your data and AI landscape
-How the Lakehouse model drives efficiency and innovation
10:15 - 11:00: Delta Lake: Data Reliability & Performance
-Ensuring high-quality, trusted data for decision-making
-Business impact of robust data reliability and speed
11:00 - 11:15: Break
11:15 - 12:00: Unity Catalog: Fine-Grained Governance for Data & AI
- Enabling safe, data-driven innovation
12:00 - 13:00: Catered Lunch & Networking
- Relax and connect with peers
- Informal discussions with Databricks experts
13:00 - 14:00: Data Engineering & Streaming
- Strategic benefits of streaming data for decision-making
14:00 - 15:00: Databricks SQL & BI: Data Warehousing
- Enabling self-service analytics across teams
15:00 - 15:15: Break
15:15 - 16:00: End-to-End Data Science and Machine Learning
- Real-world examples of AI/ML business impact
16:00 - 17:00: Wrap-Up & Q&A
- Roadmapping next steps and certification paths
- How to enable your teams for long-term success
After this session you'll be able to...
✅ How the Databricks Lakehouse architecture unifies data, analytics, and AI to drive business value.
✅ What strategic advantages Delta Lake and Unity Catalog offer for data reliability, compliance, and governance.
✅ How modern data engineering, real-time streaming, and self-service BI accelerate time-to-insight.
✅ How to scale AI and ML initiatives from pilot to production with clear next steps for your team’s enablement.
Teacher / speaker
Nick Verhelst
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