Danica Porobic

For my US followers:
careers.oracle.com/en/sites/job...

#NextGen - the DOAG program for students

Student in Germany? Take a look at apex.doag.org/de/nextgen/

MSc thesis work of Emil Houlborg and Andreas Tietgen @itu.dk will be presented at CIDR conference next week. Huge congrats to them!
Modern storage I/O landscape is very diverse, yet not so accessible. We created a new file system extension for @duckdb.org with xNVMe to help with this accessibility.

Level Up Your Schema: Annotations for Object Metadata in Oracle AI Database In Oracle AI Database, annotations provide a powerful way to attach metadata to database objects. Tables, columns, views, and domains are enhanced with self-describing, user-defined assets. This article introduces annotations and how you can start using them to make your data more explainable and AI-ready. Database Annotations Create a Table With Annotations Update Annotations Remove Annotations Example: Use annotations as context for AI Agents with SQLcl MCP Server…

Level Up Your Schema: Annotations for Object Metadata in Oracle AI Database

In Oracle AI Database, annotations provide a powerful way to attach metadata to database objects. Tables, columns, views, and domains are enhanced with self-describing, user-defined assets. This article introduces…

The Moment for Database Documentation has come! Confluent Director Adi Polak posted this tweet earlier today regarding SQL and understanding the data model. I’m in agreement with her on both things, namely SQL is not a difficult thing to l…

I've been waiting decades ... but finally the documentation chickens have come home to roost !!!
connor-mcdonald.com/2025/09/22/t...

DOAG.tv

“AI wird zum Assistenten für DBAs“, sagt Oracle-VP Tirthankar Lahiri. Im Interview, das Martin Klier führte, spricht er über Vector Search, Datenschutz und die Vision vom Datenbank-Roboter 🎥 youtu.be/gV-GwLLifVE

#AI #DBA #Oracle

Thumbnail: CXL Memory Performance for In-Memory Data Processing

Vol:18 No:9 → CXL Memory Performance for In-Memory Data Processing
👥 Authors: Marcel Weisgut, Daniel Ritter, Pinar Tözün, Lawrence Benson, Tilmann Rabl
📄 PDF: https://www.vldb.org/pvldb/vol18/p3119-weisgut.pdf

Example defining annotations on a table and column in Oracle Database 19.28

With all the new stuff in the 23ai RUs, it can be easy to overlook some cool changes in 19c such as

Schema annotations have been backported to 19.28

These enable you to add key-value metadata to describe tables, columns, and other database objects

Official announcement/introduction to our MCP Server for Oracle Database

blogs.oracle.com/database/pos...

You should join @krisrice.io and I for an hour of show and tell in a few weeks. The MCP support has the potential to really change how you work with our Database.

go.oracle.com/LP=148941?el...

Build an MCP to connect AI to Oracle Database w/OpenAPI See how to build your own local MCP to connect your AI assistant to an Oracle Database, by simply ingesting our REST API OpenAPI spec!

📣 New post! With less than 100 lines of python, I created a local MCP to connect AI assistants to my Oracle Database
via REST APIs!

www.thatjeffsmith.com/archive/2025...

Welcome Fernando!

Could you try with 19.23? I've checked with a few people internally and we believe that some of the fixes in that version would help alleviate the issue. Opening an SR with more details would also help with finding the root cause of the issue.

Here's the video of APEXLang that Mike Hichwa showed in his talk this morning at #APEXWorld2025 The is massive potential here from easier ci/cd to code reviews to AI trained on the language to tooling as we'll publish the grammar behind when it launches

Mar-26 would be tough due to Cloud World Tour Zurich the day after - let me know when you prepare the ER!

What is the problem that inspired this investigation? If you have any suggestions which statistics or views could help with it, let us know and we will consider adding it. I'm more than happy to chat offline or at a future community meeting in Switzerland

📢📢VLDB26 (@vldb.bsky.social) will have a ShadowPC! Apply at forms.office.com/e/XYihKj4UKq by March 1! Great opportunity for folk who are new to the data management community & want to gain paper reviewing experience. More info at application form. Chairs: @zistvan.bsky.social, Tianzheng Wang, & I.

📢📢 Have a PhD position on the IO-path of deep learning, co-funded by Innovation Fund Denmark. Selected candidate will be affiliated with Samsung Research Denmark and IT University of Copenhagen. Supervised by Vivek Shah, Javier González, and me. More details at www.linkedin.com/jobs/view/41...

Dijkstra Fellowship Acceptance Speech by Marcin Zukowski (Dijkstra Award 2024) Website: https://www.cwi.nl/en/events/dijkstra-awards/cwi-lectures-dijkstra-fellowship/ About the Dijkstra Fellowship The Dijkstra Fellowship is named after former CWI researcher Edsger W. Dijkstra, who was one of the most influential scientists in the history of CWI. Dijkstra developed the shortest path algorithm, among other contributions. The first Dijkstra Fellowships were awarded to David Chaum and Guido van Rossum in 2019. Dijkstra Fellowship 2024 for Marcin Żukowski Marcin Żukowski started his career at CWI. He did his MSc and PhD research on database management system architectures in our Database Architectures (DA) group. As a PhD student under the supervision of Peter Boncz, he developed the innovative concept of vectorized execution to improve the performance of database queries. This research received the DaMoN 2007 Best Paper Award and also the CIDR 2024 Test of Time Award, established by the Conference on Innovative Data Systems Research (CIDR). After his PhD, Żukowski co-founded CWI spin-off VectorWise (now Actian), turning his research into a high performance and highly scalable analytical database system. It became the blueprint for analytical databases, that is still widely used. After yielding a rapid technological and commercial growth, he left the company in 2012 to co-found Snowflake in Silicon Valley. Snowflake offered the first cloud-based data warehousing service that is truly designed for the cloud. Notable features are that it is an ‘elastically’ growing and shrinking system based on how busy it is, separating computation from storage, and automating many administration and configuration tasks. Snowflake uses vectorized query execution and lightweight compression methods in its columnar data storage, two techniques that were co-designed by Żukowski during his PhD years at CWI. Role model After leaving Snowflake earlier this year, Marcin Żukowski stays connected with academia by supervising students, publishing papers and taking part in computer science events. He is also an investor and advisor, supporting technology development and innovation in his home country Poland. “Marcin is an excellent example of how to apply CWI's mission in practice. He used his PhD research at CWI to create versatile foundational software products that are now widely used, and shares his knowledge and experience with the public and in particular with young technology entrepreneurs”, CWI director Ton de Kok says. CWI Lectures combined with Dijkstra Fellowship award Topics of the CWI lectures are related to the architecture of data processing and analysis systems.

Furthermore, we have now posted the videos of these lectures in the Dutch Seminar on Data Systems Design (DSDSD) YouTube channel:

bit.ly/cwida-dijkst...

many 🙏 to Daniel ten Wolde & Leonardo Kuffo Rivero for editing these!

Now available – Oracle Database 23ai Free for Apple MacBook users. Develop mission-critical AI apps and more. Learn more at blogs.oracle.com/database/pos...