Twin Cities Databricks Meetup – Global Virtual Event (December Edition)

An Ecosystem for Learners & Passionate Practitioners Who Love to Share - Open to Data & AI Practitioners Worldwide

Date: December 9
Time: 6:00 PM – 8:00 PM CST
Virtual (Zoom) – https://tinyurl.com/Dec9-DatabricksGlobalMeetup Meeting ID: 824 1202 5428

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Momentum from Our Kickoff Session
Our Kickoff Meetup was well-attended, highly productive, and filled with real-world Databricks insights. The energy and collaboration validated our mission to build a global community where practitioners share what truly moves the needle.

Recording: https://shorturl.at/d14i2

Recording Topics by Minutes:
0:01 - 0:33: Cheryl Protas: Git Integration
0:36 - 1:04: Srivathsan RL: Lakehouse Implementation
1:06 - 1:33: Miles Porter, Responsible AI for Everyone
1:34 - 1:53: Vish Mehta, AI/BI Genie
1:54 - 2:11: Dan Getzke, Adapting Databricks SRA (Security Reference Architecture)

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December 9th Agenda
We Are Collecting Presentation Topics
For December, our speaker lineup will be shaped by the community. We are inviting practitioners from across the globe to share topics that meet the following criteria:
Focus Areas for December Speakers:
We prioritize real implementation–based solutions, such as:

• Architectures you deployed
• Lessons learned from migration or modernization
• Real Databricks patterns, pitfalls, and workarounds
• AI/ML workloads and how you operationalized them
• Governance, security, and performance tuning you applied
• Best practices that emerged from actual delivery
• Integration stories (cloud, data platforms, MDM, Lakehouse, BI, DevOps)

What We Do Not Focus On: We avoid sessions that are:

• Basic Databricks training
• Topics easily found in online videos or docs
• High-level theoretical talks without real-world depth

Our goal is simple:
Give practitioners insights that they cannot find anywhere else except from other practitioners.

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Who Should Attend?
Anyone working on or curious about data engineering, analytics, AI, or Databricks — globally:

• Practitioners
• Builders
• Architects
• Engineers
• BI/Analytics professionals
• Students & learners seeking practitioner insights

What to Expect

• Authentic, practitioner-driven knowledge
• Global networking
• Actionable insights from real Databricks implementations
• A safe space for questions, collaboration, and deep learning