The Databricks community team needs your help to lead and shape this local community. Why You Should Step Up: Membership: You are already a member of the Databricks community in this region, which gives you a unique perspective on topics relevant to this group Leadership: Build leadership skills by guiding the group Visibility: Stand out in the Databricks community and unlock new leaderboard levels Impact: Help to shape the future of Databricks in your region by leading discussion topics and events Your Role: Organize/host in-person and virtual meetup events, in conjunction with the Databricks community team Keep the group active between events by starting discussions, sharing insights, and asking questions Welcome new members Interested? Comment below or email community@databricks.com. The Databricks community team is here to provide whatever support you need. Thanks Rishabh ... View more

Hi Bay Area Databricks Community members!  I am happy to announce that while we are in the early stages of planning our next event, we are targeting Thursday, April 24 from 5 - 7:30 PM.  We will have more details available in the upcoming weeks leading up to the event but please save the date! ... View more

  📅 Thursday, March 6, 2025 🕗 8:00 AM – 5:00 PM PT 📍 The Ameswell Hotel, 800 Moffett Blvd, Mountain View, CA 94043 🔗 Secure your spot today! Register Here! Join us for a half-day deep dive into the future of data and AI. Learn how to: Eliminate data silos and simplify governance Empower teams with AI-driven insights using natural language Develop high-quality AI applications while maintaining data privacy Streamline data management across engineering, governance, and analytics What’s in store? Keynote & Customer Success Stories Expert-led Technical Sessions Networking Opportunities Agenda Highlights: 8:00 AM – 9:00 AM | Breakfast & Registration 9:00 AM – 9:25 AM | Welcome + Keynote 9:25 AM – 9:40 AM | Customer Story 9:40 AM – 10:10 AM | Simplify Data and AI Governance at Scale With Unity Catalog 10:10 AM – 10:35 AM | Break & Networking 10:35 AM – 11:05 AM | Build and Deploy AI Apps With Databricks 11:05 AM – 11:35 AM | AI-Powered Data Warehousing With Databricks SQL 11:35 AM – 11:50 AM | Partner Session 11:50 AM – 12:00 PM | Closing Remarks 12:00 PM – 1:00 PM | Lunch & Networking   ... View more

🔊🌟 Calling all data engineers🌟🔊 ​Join us for Databricks DevConnect on Wednesday, March 12 from 5:00pm - 9:30pm at the Databricks Mountain View office! 👉RSVP to secure your spot HERE👈 Databricks DevConnect is a technical meetup designed for data engineers to experience an immersive evening of insights, collaborative learning, and community – hosted by the Databricks Developer Relations team. Bringing together data enthusiasts and innovators, we’ll explore the latest advancements in Databricks data engineering, AI, and analytics. You’ll have the chance to dive deep into technical discussions, share real-world experiences, and discover new ways to leverage Databricks’s technologies. Whether you’re a seasoned data engineer or just starting your journey, this event is designed to spark creativity and foster growth in our community. Let’s connect, learn, and push the boundaries of what’s possible with data – together! ​Why You Can't Miss This Event: ​🔓 Unlock the Power of Databricks: Discover how our unified platform can power your data engineering and AI initiatives. ​🧠 Learn from Experts:  Gain actionable insights from Databricks Engineers, Product Managers, DevRel, and MVPs. ​💻 Engaging Technical Sessions: Deepen technical expertise through interactive demos of the Databricks platform, and tools. ​🤝 Network with the Community: Connect and build relationships with peers, MVPs, Databricks product managers, developer advocates, and engineers. ​AGENDA ​5:00 PM: Registration & Mingling  ​5:45 PM: Welcome Remarks by: ​Denny Lee, Principal Developer Advocate ​Holly Smith, Staff Developer Advocate ​6:00 PM: ➡️ Session #1 – Format Interoperability with Apache Iceberg™ featuring: ​Jason Reid, Director, Product Management ​Jonathan Brito, Staff Product Manager ​6:45 PM: ➡️ Session #2 – Mastering Unity Catalog: Implementing Governance and Security in the Lakehouse featuring: ​Michelle Leon, Staff Product Manager ​7:30 PM: Break ​7:45 PM: ➡️ Session #3 – End-to-End Development with Databricks Assistant: From Data Discovery to Production featuring: ​Samantha Banchik, Product Manager ​Gal Oshri, Sr. Staff Product Manager ​8:30 PM: Closing Remarks by: ​Denny Lee, Principal Developer Advocate ​Holly Smith, Staff Developer Advocate ​8:35 PM: Networking Reception with bites and beverages ​9:30 PM: Good night ​SESSION DESCRIPTIONS ​Format Interoperability with Apache Iceberg™: In this technical session, we will showcase and demonstrate how Databricks simplifies data integration across any open data format.  You’ll learn how Databricks allows you to connect to any data source allowing you to have full format interoperability from wherever/whatever your data source.   ​Mastering Unity Catalog: Implementing Governance and Security in the Lakehouse: Dive into the intricacies of Unity Catalog and discover how it empowers data engineers to implement robust governance and security measures in the lakehouse environment. This session will provide an in-depth look at leveraging open standards for data management, implementing fine-grained access controls, and utilizing advanced lineage tracking capabilities. You'll learn how to establish secure collaboration workflows, manage data assets effectively, and ensure compliance with data regulations. By the end of this talk, you'll have the knowledge to architect a well-governed and secure lakehouse that fosters innovation while maintaining data integrity. ​End-to-End Development with Databricks Assistant: From Data Discovery to Production: In this technical deep dive, we’ll explore how developers can leverage the Databricks Assistant to streamline workflows across the entire development lifecycle—from data discovery to production deployment. Learn how AI-powered features like Catalog Explorer integration simplify schema exploration and metadata retrieval, while SQL optimization tools help refine query performance. We’ll also showcase new capabilities for diagnosing job errors and troubleshooting DLT pipelines, enabling faster debugging and issue resolution in Python-based workflows. Whether you're authoring SQL queries, troubleshooting Python scripts, or debugging production workflows, discover how the Databricks Assistant accelerates development and enhances operational efficiency. ​SPEAKERS ​Daniel Liden, Sr. Developer Advocate ​Denny Lee, Principal Developer Advocate ​Holly Smith, Staff Developer Advocate ​Jules Damji, Application Developer ​Kobie Crawford, Staff Developer Advocate ​Nick Karpov, Staff Developer Advocate ​Robert Pack, Staff Developer Advocate ... View more

We’re curious to hear how you’re using Databricks in your projects. Whether it’s an innovative use case or just an example of everyday work, share your story and inspire others. Let us know in the comments below! ... View more