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…

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…

See how the new VSCode Copilot integration accelerates Oracle DB23ai development, and how Oracle Database MCP support enables natural language access for faster collaboration.

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!

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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.