BrickTalks: Lakebase Autoscaling Deep Dive: How to OLTP with Databricks
Discover the power of Serverless Postgres on the Lakehouse and learn how to drive operational workloads using Databricks Apps, Agent Bricks, and Lakebase. This session will provide an in-depth understanding of automating and operationalizing your data with data apps and AI agents, enabling you to streamline processes and enhance efficiency.
▶︎
MLflow 3.0: AI and MLOps on Databricks
▶︎
Databricks Lakebase - Instant OLTP for Apps & Agents
▶︎
Databricks Lakebase (OLTP) Technical Deep Dive Chat + Demo w/ @Databricks Cofounder, Reynold Xin
▶︎
What is Databricks? The Story Behind the Modern Data Platform (Visual Explanation)
▶︎
Introducing Lakebase - Databricks Co-founder & Chief Architect Reynold Xin
▶︎
February Databricks Updates: Lakebase Autoscaling, Knowledge Assistant AI, and Sharing to Iceberg
▶︎
Designing Data-Intensive Applications: Chapters 1 and 2
▶︎
Databricks Full Course for Beginners (2 Hours) - Declarative Pipelines & Lakeflow Designer
▶︎
BrickTalks: Zerobus Ingest: From Lakehouse to Insights Now with Product Manager Victoria Bukta
▶︎
Learn ETL Pipelines in Databricks in Under 1 Hour | Data Engineering in Databricks
▶︎
AI Beyond The Basics: Deploy Your AI Assistant | A ShiftChange Webinar
▶︎
Databricks Genie EXPLAINED (The 58-Minute Full Guide)
▶︎
Introduction to Lakebase: OLTP for Data Apps and AI Agents
▶︎
Databricks Lakebase - Integrate OLTP database (Postgres) in your Databricks Lakehouse
▶︎
Databricks BrickTalks: The latest and greatest in AI/BI with Eason Gao
▶︎
Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
▶︎
Full Walkthrough: Workflow for AI Coding — Matt Pocock
▶︎
6421 Distributed System Final Project - Debatrium
▶︎
BrickTalk: Running Supply Chain Operations on Databricks From Dashboards to Agents
▶︎