# brickster.ai > An independent curated digest of the Databricks ecosystem. Daily-refreshed archive of releases, news, videos, and community Q&A across the Databricks platform and the open-source projects around it (MLflow, Delta Lake, Unity Catalog, dbt). Free, no signup. Not affiliated with Databricks, Inc. ## Daily content streams - [News](https://www.brickster.ai/news): Curated blog posts from the Databricks blog, MLflow, dbt Labs. Updated daily. - [Releases](https://www.brickster.ai/releases): Every GitHub release across 12 tracked ecosystem repos (Databricks CLI, all SDKs, Terraform provider, dbt adapter, MLflow, Delta Lake, Unity Catalog, UCX). Updated daily. - [Videos](https://www.brickster.ai/videos): 1,613+ videos indexed — Data + AI Summit talks plus 10 curated YouTube channels, summarized from transcripts. Updated daily. - [Community](https://www.brickster.ai/community): Q&A from Reddit r/databricks, Stack Overflow [databricks], Databricks Community forum (Khoros), Hacker News mentions. Updated daily. - [Projects](https://www.brickster.ai/projects): Notable GitHub projects in the Databricks ecosystem. - [Events](https://www.brickster.ai/events): Upcoming Databricks-related events and meetups. - [Feed](https://www.brickster.ai/feed): All five streams merged into one timeline, reorderable for six practitioner roles (Data Engineer, ML, Platform, BI, Leader, Exec). No signup. ## Reference surfaces - [Roadmap](https://www.brickster.ai/roadmap): Public Databricks feature roadmap. 80+ features with current lifecycle status (announced / private preview / public preview / beta / GA / deprecated). Sourced from public blog posts only. Browse as a tree with status pills. - [Topics](https://www.brickster.ai/topics): 61 Databricks-ecosystem topics tracked. Each topic has an AI-generated synthesis of recent activity plus the curated item list. - [Sources](https://www.brickster.ai/sources): Every public input the archive reads, grouped by stream (news feeds, GitHub repos, YouTube channels, DAIS playlists, community forums). With live last-seen timestamps. - [Newsletter](https://www.brickster.ai/newsletter): Weekly digest archive. Sent Tuesday mornings. Each issue is a permanent URL with the same content the inbox received. - [Pulse](https://www.brickster.ai/pulse): Live bubble cloud of topic activity. Bubble size = mention count; color = trending direction vs. previous period. - [Certifications](https://www.brickster.ai/certifications): Databricks certifications catalogue. - [Books](https://www.brickster.ai/books): Curated reading list for Databricks practitioners. - [Digest](https://www.brickster.ai/digest/week): LLM-synthesized digest of ecosystem activity, in today / week / month windows. - [Startups](https://www.brickster.ai/startups): 84+ startups in the Databricks ecosystem, mapped by category and stage. - [Newsletter landscape](https://www.brickster.ai/databricks-newsletter): comparison of every newsletter, blog, and aggregator covering the Databricks ecosystem. ## Articles Long-form, evergreen explainers written for the web by practitioners. These are original analysis, not aggregated feed items: - [What is Databricks Governance Hub, and what does it actually do?](https://www.brickster.ai/articles/databricks-governance-hub-explained): A new account-level screen over telemetry you mostly already had. It reads, it recommends, and it writes almost nothing. Knowing which of its numbers to distrust is where the value is. - [How I became a Databricks Partner Champion, and how you can](https://www.brickster.ai/articles/how-to-become-a-databricks-partner-champion): The program guide lists the steps. This is what they were like from the inside, and what mattered most in my case. - [What is Genie Ontology, and how does it actually work?](https://www.brickster.ai/articles/genie-ontology-explained): Half of it is defined on purpose. The other half assembles itself from dashboards and queries you already have. When the two disagree, a score you cannot audit picks the winner. - [Spark Developer Associate: the cheat sheet](https://www.brickster.ai/articles/spark-developer-associate-cheat-sheet): Everything the Databricks Certified Associate Developer for Apache Spark exam tests, on one page, in the order the official guide lists the domains. - [Your data quality rules are the bottleneck. Here's where AI actually helps.](https://www.brickster.ai/articles/ai-for-data-quality-on-databricks): Databricks gives you a strong engine for enforcing data quality. Writing and maintaining the rules is still manual toil. That gap is where AI earns its place. ## AI tools - [Assistant](https://www.brickster.ai/assistant): AI assistant grounded in the brickster.ai archive. Answers questions with inline numbered citations to the original source items. Free, no signup. - [MCP Server](https://www.brickster.ai/mcp): Model Context Protocol server. Drop one JSON snippet into Claude Desktop, Cursor, Codex, or any MCP-aware client config; AI client now has typed tools over the entire archive (semantic search, recent releases, recent news, recent videos, curated reading list). ## Topic index Per-topic landing pages, each with an AI synthesis of recent activity plus the curated item list: - [Unity Catalog](https://www.brickster.ai/topics/unity-catalog) - [Delta Lake](https://www.brickster.ai/topics/delta-lake) - [Lakebase](https://www.brickster.ai/topics/lakebase) - [Lakehouse Federation](https://www.brickster.ai/topics/lakehouse-federation) - [LakeFlow](https://www.brickster.ai/topics/lakeflow) - [Delta Live Tables](https://www.brickster.ai/topics/delta-live-tables) - [Auto Loader](https://www.brickster.ai/topics/auto-loader) - [Structured Streaming](https://www.brickster.ai/topics/structured-streaming) - [Spark RT Mode](https://www.brickster.ai/topics/real-time-mode) - [Apache Spark](https://www.brickster.ai/topics/spark) - [Photon](https://www.brickster.ai/topics/photon) - [Databricks SQL](https://www.brickster.ai/topics/dbsql) - [Serverless](https://www.brickster.ai/topics/serverless) - [Workflows](https://www.brickster.ai/topics/workflows) - [Asset Bundles](https://www.brickster.ai/topics/asset-bundles) - [Databricks CLI](https://www.brickster.ai/topics/databricks-cli) - [Databricks SDK](https://www.brickster.ai/topics/databricks-sdk) - [Terraform Provider](https://www.brickster.ai/topics/terraform-provider) - [VS Code Extension](https://www.brickster.ai/topics/vscode-extension) - [MLflow](https://www.brickster.ai/topics/mlflow) - [Model Serving](https://www.brickster.ai/topics/model-serving) - [Vector Search](https://www.brickster.ai/topics/vector-search) - [Mosaic AI](https://www.brickster.ai/topics/mosaic-ai) - [Genie](https://www.brickster.ai/topics/genie) - [AI Functions](https://www.brickster.ai/topics/ai-functions) - [AI Agents](https://www.brickster.ai/topics/agents) - [Agent Bricks](https://www.brickster.ai/topics/agent-bricks) - [Foundation Models](https://www.brickster.ai/topics/foundation-models) - [RAG](https://www.brickster.ai/topics/rag) - [Fine-tuning](https://www.brickster.ai/topics/fine-tuning) - [LLM](https://www.brickster.ai/topics/llm) - [AI/BI Dashboards](https://www.brickster.ai/topics/ai-bi-dashboards) - [Metric Views](https://www.brickster.ai/topics/metric-views) - [Apache Iceberg](https://www.brickster.ai/topics/iceberg) - [Delta Sharing](https://www.brickster.ai/topics/delta-sharing) - [Clean Rooms](https://www.brickster.ai/topics/clean-rooms) - [Databricks Apps](https://www.brickster.ai/topics/apps) - [Lineage](https://www.brickster.ai/topics/lineage) - [Row Filters](https://www.brickster.ai/topics/row-filters) - [Service Principal](https://www.brickster.ai/topics/service-principal) - [dbt-databricks](https://www.brickster.ai/topics/dbt-databricks) - [Tableau](https://www.brickster.ai/topics/tableau) - [Power BI](https://www.brickster.ai/topics/power-bi) - [Snowflake](https://www.brickster.ai/topics/snowflake) - [OpenAI](https://www.brickster.ai/topics/openai) - [Anthropic](https://www.brickster.ai/topics/anthropic) - [Lovable](https://www.brickster.ai/topics/lovable) - [MCP](https://www.brickster.ai/topics/mcp) - [Kubernetes](https://www.brickster.ai/topics/kubernetes) - [Kafka](https://www.brickster.ai/topics/kafka) - [Zerobus](https://www.brickster.ai/topics/zerobus) - [Data Quality](https://www.brickster.ai/topics/data-quality) - [ETL](https://www.brickster.ai/topics/etl) - [Compliance](https://www.brickster.ai/topics/compliance) - [Cost Optimization](https://www.brickster.ai/topics/cost-optimization) - [Certifications](https://www.brickster.ai/topics/certifications) - [Data Engineer](https://www.brickster.ai/topics/data-engineer) - [ML Associate](https://www.brickster.ai/topics/ml-associate) - [Healthcare](https://www.brickster.ai/topics/healthcare) - [Financial Services](https://www.brickster.ai/topics/financial-services) - [Retail](https://www.brickster.ai/topics/retail) ## Per-item permalink patterns - /releases/{owner}/{repo}/{tag} — every tracked GitHub release as a permanent URL with full release notes plus our 2-sentence summary - /news/{source}/{slug} — every indexed news article with our summary + a back-link to the source - /videos/{id} — every indexed video with summary + transcript-derived metadata - /topics/{id} — per-topic landing pages with AI synthesis + filterable item list - /roadmap/{id} — per-feature detail page with status history + sources ## Editorial policy - Every claim on every page traces to a public source. We do not have access to private Databricks roadmap or AE-shared documents. - AI-generated summaries (Gemini 2.5 Flash) on news/release/video pages are labeled and link back to the original source for verification. - Curated, not crawled. New sources are added manually after human review. ## Independence brickster.ai is an independent community project. Not affiliated with, endorsed by, or sponsored by Databricks, Inc. Databricks, Apache Spark, MLflow, Delta Lake, Unity Catalog, and related marks belong to their respective owners. ## Sitemap Full URL list: https://www.brickster.ai/sitemap.xml