What’s New in Databricks? March 2025 Updates & Features Explained! #databricks

Databricks, What’s New in Databricks? March 2025 Updates & Features Explained! Databricks Genie, Lakeflow & more! - Stay ahead with the latest Databricks updates for March 2025. This month introduces powerful features like: *SQL scripting enhancements, Calling Agents, Genie Files, Lakeflow, Streaming from Views, Secure Access Tokens, Binds, JSON Metadata Exploration, and Automatic Liquid Clustering.* #databricks #spark #dataengineering #ai #sql #llm 📌 *Watch the complete breakdown and see how these updates impact your data workflows!* ✨ *🔍 Key Highlights in This Update:* - *0:10* – SQL Scripting Enhancements: More advanced scripting with `BEGIN...END`, `CASE`, and control flow structures - *0:58* – Tabs: Soft tabs for notebooks and files have landed - *1:38* – MLFlow Trae UI: Debug agents with improved tracking - *2:27* – Calling Agents in Databricks: Connect Databricks to external services (e.g., Jira) using *http_request()* function - *5:50* – Volume File Previews: Seamlessly *preview files in volumes* - *6:15* – Genie Files: Easily *join files in Genie conversations* - *7:57* – Genie REST API: Develop your own app using *out-of-the-box Genie capabilities* - *9:15* – Lakeflow Enhancements: New ingestion pipelines, including *Workday & ServiceNow integrations* - *10:40* – Streaming from Views: Learn how to *stream data from SQL views* into live data pipelines - *11:45* – Secure Access Tokens: Manage Databricks *API tokens securely* - *12:24* – Binds: Improve workspace management with *Databricks workspace bindings* for external locations and credentials - *14:22* – DESCRIBE AS JSON: Explore metadata *directly in JSON format* for *more straightforward automation* - *15:50* – Automatic Liquid Clustering: Boost *query performance* with predictive clustering 📚 *Notebooks from the video:* 🔗 [GitHub Repository](https://github.com/hubert-dudek/medium/tree/main/news/202503) 📝 *More on SQL Enhancements:* 🔗 [Read the full article](https://medium.com/@databrickster/sql-scripting-in-spark-4-296e22bf1f11) 📝 *More on DESCRIBE AS JSON:* 🔗 [Read the full article](https://medium.com/@databrickster/describe-extended-as-json-in-action-aa2f10f01060) 📝 *More on Calling GENIE API:* 🔗 [Read the full article](https://medium.com/@databrickster/call-genie-and-build-your-own-data-chat-2dfe6ae4b1a8) ☕ *Enjoyed the video? Could you support me with a coffee?:* 🔗 [Buy Me a Coffee](https://ko-fi.com/hubertdudek) 💡 Whether you're a *data engineer, analyst, or Databricks enthusiast,* these updates will *enhance your workflows* and boost productivity! 🔔 *Subscribe for more Databricks insights & updates:* 📢 [YouTube Channel](https://www.youtube.com/@databricks_hubert_dudek/?sub_confirmation=1) 📢 *Stay Connected:* 🔗 [Medium Blog](https://databrickster.medium.com/) --- ### 🎬 *Recommended Videos:* ▶️ [Databricks What’s new in January 2025](https://www.youtube.com/watch?v=JJiwSplZmfk) ▶️ [Databricks What’s new in February 2025](https://www.youtube.com/watch?v=tuKI0sBNbmg) ▶️ Databricks [What’s new in March 2025](https://www.youtube.com/watch?v=FDgtNVeLTc8&feature=youtu.be) --- ### *🔎 Related Phrases & Keywords:* #databricks #bigdata #dataengineering #machinelearning #sql #cloudcomputing #dataanalytics #ai #azure #googlecloud #aws #etl #python #data #database #datawarehouse