This week, the Databricks Community saw a great mix of product discussions, technical deep dives, and new user group activity:

📘 Fresh Content & Community Blogs

• (Episode 1) Learning Databricks One Brick at a Time – Free Edition
• What Does “Full Stack Development” Mean in the World of Databricks?
• Accelerating Data Migration and Data Engineering with AI
• Corrupted Delta Logs
• Data Drift & Model Comparison in Production MLOps — handling scale changes with AutoML

📍 Community & Events

• Announcing DenverBricks — our new Denver Databricks User Group + first meeting 
• Open Lakehouse + AI Paris | Nov 24 — upcoming meetup.
• New user group meetup topics discussion underway.

💡 Highlighted Discussions & Best Practices

• Guidance on Databricks One: enablement locations + visibility issues.
• Best practices for governance — accessing production catalogs safely in lower environments.
• Insights on LakeBridge transpiler limitations, strategies, and workarounds.
• Retrieving last refresh dates of data & metadata — complete list of DESCRIBE HISTORY operations.

✅ 25+ questions resolved this week, including:

• Ownership changes in materialized views.
• Unauthorized access during masked column merges.
• Serverless Spark OOM errors on large JSON files.
• DLT pipeline + KafkaAdminClient issues.
• Connectivity setups (e.g., Cloud SQL with GCP, MongoDB Spark).
• Permissions, alerts, and admin role assignments.

A big thank you to all our community members for your questions, solutions, and knowledge-sharing this week. 🙌 Keep the momentum going—we can’t wait to see what insights you’ll bring next week! 🚀