Joel Minnick, Databricks | Databricks Data + AI Summit 2023 Day 2
summary
Kickoff conversation highlights concrete moves: Delta Sharing is open source, a universal format lets Delta Lake read and write Iceberg/Hudi stores, and Databricks adds Lakehouse IQ as a data-aware coding assistant. Vector search integrates directly with Delta tables so teams create vector indexes from existing data in a few lines of code. Marketplace apps deploy containerized into customer tenants with inherited governance. Claim: Databricks processes about two exabytes per day across its platform.
AI-written summary · about
chapters (7)
- 0:00Generative AI and the market
- 1:03Data at the core of AI
- 2:29Unification and standards
- 5:05Empowering data developers
- 7:43Vector databases and platforms
- 9:26Open source and demographics
- 12:58Marketplace and data apps
related talks
33mYou Don’t Need Spark for That: Pythonic Data Lakehouse Workflows
08mThe Democratization of Data Science
39mEnabling Data centric Teams
45mDeepBrew – AI
29mBuilding with Amazon SageMaker Unified Studio
30mFocusing on the Developer and Partnering with the Linux Foundation Helps..
21mPutting big data self-service analytics in the hands of business people
19mInsights for Everyone - Democratising Analytics
