​🔊🌟 Calling all data engineers🌟🔊

​​Join us for Databricks DevConnect on Thursday, October 16 from 5:00pm - 9:00pm IST at the Databricks Bengaluru office!

​Databricks 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.

​Why You Can't Miss This Event:

• ​​​🏆 Become a 10x Data Engineer by using the best of Databricks for your Data + AI projects

• ​​​🧠 Learn from exclusive experts that you won’t hear anywhere else; from Product Managers, DevRel, and MVPs.

• ​​​💬 Connect with your community and build relationships with peers, Developer Advocates, MVPs and Databricks Product Managers.

• ​​👕 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!

​​AGENDA

• ​​​5:00 PM: Registration & Mingling 

• ​6:00 PM: Welcome Remarks

• ​​6:15 PM ➡️ Session #1: Apache Iceberg™, Delta Lake & Unity Catalog: How to make them interoperable in your Lakehouse

• ​​6:45 PM ➡️ Session #2: Lakebase: Adding OLTP to the acronym stack of ELT, OLAP, BI & AI

• ​7:15 PM ➡️ Session #3: Don’t spend more than you have to with Cost Controls on Databricks

• ​7:45: New Features Rapidfire

• ​​7:55 PM: Closing Remarks

• ​​8:00 PM: Networking Reception

• ​​9:00 PM: Good night

​​SESSION DESCRIPTIONS

• ​​Apache Iceberg™, Delta Lake & Unity Catalog: How to make them interoperable in your Lakehouse
  If you just want to get your project working, instead of deciphering table formats and compatibility matrices this talk is for you. We’ll show how Databricks is simplifying data integration with open table formats so you can spend less time on a balancing act, and more time getting stuff done. 

• ​Lakebase: 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.

• ​Don’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.  

• ​New Features Rapidfire
  With so many new features, we can’t possibly go through them all, so this is a rapidfire of new features with a 30 second overview of what they do. 

​​SPEAKERS

• ​​Holly Smith, Staff Developer Advocate​