🚀 Recursive CTEs just landed in Databricks SQL. Now you can traverse hierarchies, build graphs, flatten nested JSON, and replace loops/UDFs—all in pure SQL. ANSI-compliant. Turing complete. 🧠 Dive in: databricks.com/blog/introduci… #DatabricksSQL #ApacheSpark sprou.tt/1k0WVdwx9ZK

Databricks SQLアラートバージョン2です！ Databricks SQLアラートが新しくなりました！ #DatabricksSQL - Qiita qiita.com/taka_yayoi/ite…

We've been launching a ton of features and performance improvements to make #DatabricksSQL simpler, faster and more cost-efficient. Read our recap on the biggest highlights, including: ✅ Databricks welcomed BladeBridge for AI-powered migrations ✅ Updates to AI/BI Dashboards and Genie ✅ New SQL editor features to streamline workflows ✅ Gated Public Preview of Predictive Optimization for statistics Full roundup here: dbricks.co/43edvDl

🎉In this new video, I covered real business use cases of Databricks SQL QUALIFY when combined with window functions in SELECT list and in QUALIFY clause scenarios. Watch on YouTube: youtu.be/AuYtYqDwqZc #DatabricksSQL

👌Easily use Databricks Date_Format SQL function to calculate sales by name of week! #DatabricksSQL

🎉 Easily switch to the new Databricks SQL Editor from kebab! #Databricks #DatabricksSQL #AI

🔍 Pro tip: Use 'SHOW TABLES DROPPED' to get the exact table ID and drop time. Sometimes the issue isn't about timing - it could be naming conflicts or incorrect table references. #DatabricksSQL #DataOps 2/3

We’ve released a ton of enhancements #DatabricksSQL to since August — and we’ve seen 77% in speed improvement. New features and functionality include: - Dashboard embedding and sharing - SQL editing - Predictive optimization, automated statistics dbricks.co/3CtGtE1

Learn how to use sample dashboards in #DatabricksSQL with this tutorial. Discover rich visualizations and gain insights from your data effortlessly. Read more here: msft.it/6013WB49S

新しいSQLエディタがパブリックプレビューになりました！すでにノートブックでサポートされていた、共同編集やコメント、バージョン管理、テーマ設定の機能などを活用することができます！ Databricksの新しいSQLエディター #DatabricksSQL - Qiita qiita.com/taka_yayoi/ite…

AI is used across #DatabricksSQL to automatically improve efficiency & performance. Learn about new innovations that helped achieve 4x better performance: - Liquid Clustering - Predictive I/O - Intelligent Workload Management - Predictive Optimization dbricks.co/3XGxZSh

Over 7k customers use #DatabricksSQL as their data warehouse. We recently added new features & performance improvements that make it simpler, faster & lower cost. Including: - AI-powered performance - AI Assistant for SQL Analysts - AI Functions updates dbricks.co/3XGxZSh

📣Heads up, Databricks SQL users: you can now test your data in GX Cloud! Sign up and start monitoring your #DatabricksSQL data’s quality 👉 hubs.li/Q02Qw3-f0

Here are the latest new features and performance improvements making #DatabricksSQL simpler, faster and lower cost: 👉 AI-powered performance: 4x improvement 👉 AI Assistant for SQL Analysts 👉 Leverage AI models directly via SQL Get the details: dbricks.co/3XGxZSh

Excited to share the new features & performance improvements that make #DatabricksSQL simpler, faster & lower cost than ever: 👉 AI-powered performance: 4x improvement  👉 AI Assistant for SQL Analysts  👉 Leverage AI models directly via SQL sprou.tt/143qmAeSQGk

Pearl Ubaru, Technical Product Marketing Engineer at Databricis, shows the power of #DatabricksSQL. #DataAISummit

Ready to get a new certification during #DataAISummit? 🤓 The Data Analyst Track will show you how to: ✔️ Import data in #DatabricksSQL as tables and views ✔️ Query data in #DatabricksSQL ✔️ Create visualizations, dashboards, and more! Register today 👉 bit.ly/4byoxVb

#DatabricksSQL Lakeview dashboards are optimized for ease of use, governance, and performance 🔥 These dashboards are now on @AWS and @Azure. Learn about game-changing capabilities like AI-assisted authoring and fast interactive analysis.👇 dbricks.co/3Jq43St

Every #SQL developer wants to be more productive and tackle complex scenarios with ease. Updates like Lateral Column Alias Support and general table-valued function support help developers get the most out of #DatabricksSQL - see how: dbricks.co/42Qxc2b