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UID:0-2522@sharepointsocial.de
DTSTART;TZID=Europe/Berlin:20250910T190000
DTEND;TZID=Europe/Berlin:20250910T210000
DTSTAMP:20250904T171342Z
URL:https://sharepointsocial.de/events/zuhause-bei-freunden-torsten-straus
 s-on-exciting-sql-server-2025-features/
SUMMARY:Zuhause bei Freunden: Torsten Strauß on exciting SQL Server 2025 f
 eatures
DESCRIPTION:\n\n\nLiebe Monster und Monster-Freunde\,\nam 10. September kom
 mt ein alter Freund der Berliner Datatmonster in die Hauptstadt. Torsten S
 trauß wird über ein spannendes Feature im kommenden SQL Server 2025 spre
 chen. Wer Torsten kennt\, weiß dass uns hier ein spannender\, technisch t
 iefgehender Vortrag erwartet. Vor Ort dabei zu sein\, lohnt sich erfahrung
 sgemäß bei Torsten noch mehr als die Teilnahme online. Also nehmt euch d
 ie Zeit\, kommt vorbei und bringt auch eure Kollegen mit.\nEs freuen sich 
 Markus und Ben\nDieses Treffen führen wir hybrid durch\, ihr könnt hier
  online teilnehmen. Anmeldung: https://www.meetup.com/de-DE/microsoft-dat
 a-ai-berlin/events/310866745/\n---\nDear Monsters and Monster Friends\,\nO
 n September 10\, an old friend of the Berlin Data Monsters is coming to th
 e capital. Torsten Strauß will be speaking about an exciting feature in t
 he upcoming SQL Server 2025. Anyone who knows Torsten knows that we can lo
 ok 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 colleagu
 es along as well.\nLooking forward to seeing you\,\nMarkus and Ben\nThis i
 s a hybrid event\, you can join here.\n---\nSession and Speaker:\nNext-Ge
 n AI Insights Native Vector Search in SQL Server 2025\nSQL Server 2025 ext
 ends 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 que
 ry high-dimensional embeddings (e.g.\, from NLP or image models). Thanks t
 o optimized Approximate Nearest Neighbor algorithms\, you’ll achieve mil
 lisecond-level response times—even with millions of vectors.\nThis featu
 re unlocks a variety of use cases: you can implement real-time personalize
 d recommendations for e-commerce\, semantic analytics on text or image dat
 a\, or anomaly-based security scans without the need for an external searc
 h infrastructure. Seamless integration with Azure hybrid scenarios also le
 ts you scale your vector searches both on-premises and in the cloud. All o
 f this runs on your proven SQL platform\, complete with role-based access 
 control and Always Encrypted support for sensitive embeddings.\nTorsten St
 rauß\nTorsten (MVP\, MCSE\, MCT) has been working with Microsoft SQL Serv
 er since the turn of the millennium and specializes in performance optimiz
 ation for large SQL Server environments.\nHe has been with bp for over two
  decades in various roles and is currently employed as a Senior Software E
 ngineer. In addition\, he collaborates closely with Sarpedon Quality Lab a
 s a Principal Consultant for Microsoft SQL Server.\nTorsten has delivered 
 more than 250 presentations on Microsoft SQL Server performance optimizati
 on at national and international conferences and user groups.\nSince 2018\
 , Torsten has been recognized as a Microsoft Most Valuable Professional fo
 r Data Platform.\n\n\n\n\n\n\nData AnalyticsAdvanced SQL ServerSQL\nData M
 anagementDatabase Development\n\n
CATEGORIES:Meetup
LOCATION:ML!PA Consulting GmbH\, Fredersdorfer Str. 10\, Berlin\, Deutschla
 nd
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