February 18th 2026 (already!)
Welcome to this week’s Oracle Analytics and Data Warehousing roundup — a quick TL;DR summary of useful updates, blog posts, and technical resources from across the Oracle community.
As always, this focuses specifically on Oracle Analytics Cloud (OAC), Autonomous Data Warehouse, Fusion Analytics, and useful SQL content.
🔷 Oracle Analytics – Latest Feature Highlights
The latest Oracle Analytics update continues to enhance AI-assisted analytics and semantic modelling capabilities.
Key highlights:
- AI Agents in Oracle Analytics
New AI-powered agents help detect clusters, trends and outliers using natural language prompts. - AI Assistant Feedback Loop
Users can now rate AI-generated responses to improve output quality over time. - Fine-Grained Permissions in Semantic Modeler
Greater control over who can build, edit and deploy semantic models — ideal for larger enterprise teams. - Support for Analytic Views in Semantic Models
Reuse existing database business logic directly inside OAC semantic layers.
These changes continue Oracle’s move toward tighter integration between AI capabilities and governed semantic modelling.
👉 Read more:
Oracle Analytics Blog – January Update
https://blogs.oracle.com/analytics/
🔷 Oracle Analytics Community Updates
The Oracle Analytics & AI Community continues to publish useful updates and host learning events.
Recent highlights include:
- Updates around semantic model governance
- Ongoing Analytics & AI challenges
- Refreshed learning resources and webinars for Fusion Analytics and AI Data Platform users
If you work regularly with OAC or Fusion Analytics Warehouse, the community announcements page is worth bookmarking.
👉 Oracle Analytics Community News
https://community.oracle.com/products/oracleanalytics/categories/announcements
🔷 Autonomous Data Warehouse & 23ai Updates
On the data warehousing side, recent posts from Oracle’s Data Warehousing blog are particularly relevant for administrators and SQL developers.
Notable topics:
- External Table Caching in Autonomous Database
Improving analytic performance by reducing repeated remote data reads. - Autonomous Database usability enhancements
Small but helpful features that simplify navigation and object access. - Automatic upgrades from 19c to 23ai
Continued push toward AI-native database capabilities with simplified lifecycle management.
These are practical updates for anyone running Autonomous Data Warehouse or planning upgrades.
👉 Oracle Data Warehousing Blog
https://blogs.oracle.com/datawarehousing/
🔷 SQL & Data Warehousing Technical Content
For those interested in sharpening SQL and warehouse performance skills, Oracle’s SQL and Database blogs continue to publish useful deep dives.
Topics regularly covered:
- Query optimisation patterns
- Analytic functions in warehousing
- Performance tuning tips
- Best practices for large fact tables
- Modern SQL features in 23ai
If you’re working in OAC against ADW, strong SQL foundations remain essential.
👉 SQL Data Warehousing Posts
https://blogs.oracle.com/sql/
👉 Oracle Database Blog
https://blogs.oracle.com/database/
🔎 TL;DR This Week
- OAC continues to enhance AI Agents and semantic model governance
- Fine-grained permissions improve enterprise modelling workflows
- ADW improvements focus on caching, usability and 23ai upgrades
- Strong SQL knowledge remains critical for analytics performance