Databricks Advanced Learning Festival September 16 – October 14, 2026 Join us for a four-week event dedicated to learning, upskilling, and advancing your career in data engineering, analytics, machine learning, and generative AI. Whether you are...
FOR DATABRICKS LEARNERS Two free ways to grow yourDatabricks skills Both are free and live in the Databricks Community. Bookmark the one that fits where you are right now - or use both. 01 LEARNING PATHS Your Path to Certification What it is:...
Hey Databricks Community! Join us for a free, community-sponsored BrickTalk on Thursday, October 8, 2026! Bricktalks is a community event series where Databricks experts share real-world use cases, demos, and practical insights for building with Data...
REGISTRATION IS NOW OPEN The Data + AI World Tour is heading your way A free, one-day event on how organizations are building AI they can trust to deliver real outcomes - by grounding models in their own enterprise data and business context. THE...
Free · Hands-on · Instructor-led AI/BI + Genie Launchpad From dashboards your team can trust to answers in plain language with Genie. A three-day arc of live, hands-on sessions, each built for a different role. Join only the day or days that fit you...
Community Champion • September 2026 Meet Venugopal Dabbara Every month, our Community Champion Program recognizes a member who makes the Databricks Community better for everyone, through their knowledge, their willingness to help, and their commitmen...
Cybersecurity in multicloud, multiregion environments can be complicated by fragmented security controls, data dispersion and compliance requirements. The IOC Matching and Multicloud Query Federation Solution Accelerator shows how a lakehouse platfor...
Enterprises store timestamps to understand when events occur, establish their sequence, and measure the time between them. For most analytical workloads, microsecond precision is sufficient. However, ...
End-to-End DBSQL ETL Use Case For years, a production ETL pipeline on Databricks meant a pile of PySpark. SCD Type 2 dimensions, cost-controlled materialized views, idempotent reloads of late data: e...
TL;DR: Teams are TokenMaxing, measuring success by tokens consumed, and two things go wrong at once: spend climbs and visibility does not. Both are solvable on Databricks. Route every model and agent ...
Build Your First Databricks App with Codex: A Practical Setup Guide AI coding agents can help data practitioners move from an idea to a working application without spending days learning every detail ...