Date & Time
Nov. 4, 2025, 2 p.m. - Nov. 4, 2025, 6 p.m.
Cost
$0
Location
National Union Building
918 F St NW
Washington, DC, 20004
Nov. 4, 2025, 2 p.m. - Nov. 4, 2025, 6 p.m.
$0
National Union Building
918 F St NW
Washington, DC, 20004
βDatabricks DevConnect is a technical meetup designed for data engineers to get stuck into the details, collaborate, learn, and find your people - hosted by the Databricks Developer Relations team. Together, we’ll chat about new features, deep dive into meaty topics, share real-world experiences, and discover new ways to get Databricks to be the best developer you can be.
ββWhy You Can't Miss This Event:
βββπ Become a 10x Data Engineer by using the best of Databricks for your Data + AI projects
βββπ§ Learn from exclusive experts that you won’t hear anywhere else; from Product Managers, DevRel, and MVPs.
βββπ¬ Connect with your community and build relationships with peers, Developer Advocates, MVPs and Databricks Product Managers.
ββπ Get those goodies: Swag will be raffled off throughout the event and attendees will get access to hands-on training and guided labs through Databricks Academy Labs post event!
ββ5:00 PM: Registration & Mingling
β6:00 PM: Welcome Remarks
ββDenny Lee, Product Management Director, Databricks
ββ6:15 PM β‘οΈ Session #1: UC: The Everything Catalog
ββLisa Cao, Staff Developer Relations, Databricks
ββ6:45 PM β‘οΈ Session #2: Lakebase: Adding OLTP to the acronym stack of ELT, OLAP, BI & AI
βAyman El-Ghazali, Sr. Solutions Architect, Databricks
β7:15 PM β‘οΈ Session #3: Don’t spend more than you have to with Cost Controls on Databricks
ββNick Karpov, Staff Developer Advocate, Databricks
ββ7:55 PM: Closing Remarks
ββDenny Lee, Product Management Director, Databricks
ββ8:00 PM: Networking Reception
β9β:00 PM: Good night
βUC: The Everything Catalog
It’s been four years since Unity Catalog has been introduced, originally to manage access to organised data and files. Today it’s the backbone of many exciting advancements including federated connectivity to third party services, table format agnosticism, automatically delivered system tables, lineage, background table optimisations, the list goes on. Join us to hear the latest developments and what the future holds.
βLakebase: Adding OLTP to the acronym stack of ELT, OLAP, BI & AI
In June, Databricks announced its acquisition of Neon, a managed postgres company. This isn’t just any old postgres instance, it has separated storage and compute (sound familiar?), branching, and now an integration to a unified data + AI platform. Together we’ll go through what transactional data can do for you, and how it works with Databricks.
βDon’t spend more than you have to with Cost Controls on Databricks
No one likes being slapped with a massive cloud bill, especially ones caused by silly mistakes. Databricks has invested heavily into cost controls so you know how much you’re spending, prevent accidental spend, keep to your budget, and charge back to that vibe coding data scientist that insisted on GPUs.  
ββDenny Lee, Product Management Director, Databricks
ββNick Karpov, Staff Developer Advocate, Databricks
ββLisa Cao, Staff Developer Relations, Databricks
βAyman El-Ghazali, Sr. Solutions Architect, Databricks