Zuhause bei Freunden: Torsten Strauß on exciting SQL Server 2025 features

Liebe Monster und Monster-Freunde,
am 10. September kommt ein alter Freund der Berliner Datatmonster in die Hauptstadt. Torsten Strauß wird über ein spannendes Feature im kommenden SQL Server 2025 sprechen. Wer Torsten kennt, weiß dass uns hier ein spannender, technisch tiefgehender Vortrag erwartet. Vor Ort dabei zu sein, lohnt sich erfahrungsgemäß bei Torsten noch mehr als die Teilnahme online. Also nehmt euch die Zeit, kommt vorbei und bringt auch eure Kollegen mit.

Es freuen sich Markus und Ben

Dieses Treffen führen wir hybrid durch, ihr könnt hier online teilnehmen.
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Dear Monsters and Monster Friends,
On September 10, an old friend of the Berlin Data Monsters is coming to the capital. Torsten Strauß will be speaking about an exciting feature in the upcoming SQL Server 2025. Anyone who knows Torsten knows that we can look forward to a fascinating, technically in-depth presentation. Based on past experience, attending in person is even more worthwhile with Torsten than joining online. So take the time, come by, and bring your colleagues along as well.
Looking forward to seeing you,

Markus and Ben

This is a hybrid event, you can join here.

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Session and Speaker:
Next-Gen AI Insights Native Vector Search in SQL Server 2025

SQL Server 2025 extends your existing data platform with a native vector search, enabling AI-powered similarity queries directly within the database. New vector data types and built-in index structures allow you to efficiently store and query high-dimensional embeddings (e.g., from NLP or image models). Thanks to optimized Approximate Nearest Neighbor algorithms, you’ll achieve millisecond-level response times—even with millions of vectors.
This feature unlocks a variety of use cases: you can implement real-time personalized recommendations for e-commerce, semantic analytics on text or image data, or anomaly-based security scans without the need for an external search infrastructure. Seamless integration with Azure hybrid scenarios also lets you scale your vector searches both on-premises and in the cloud. All of this runs on your proven SQL platform, complete with role-based access control and Always Encrypted support for sensitive embeddings.

Torsten Strauß
Torsten (MVP, MCSE, MCT) has been working with Microsoft SQL Server since the turn of the millennium and specializes in performance optimization for large SQL Server environments.
He has been with bp for over two decades in various roles and is currently employed as a Senior Software Engineer. In addition, he collaborates closely with Sarpedon Quality Lab as a Principal Consultant for Microsoft SQL Server.
Torsten has delivered more than 250 presentations on Microsoft SQL Server performance optimization at national and international conferences and user groups.
Since 2018, Torsten has been recognized as a Microsoft Most Valuable Professional for Data Platform.