Data Point Prague 2026

For the first time, I joined some days ago the Data Point Prague . The biggest International Data Conference in Prague. A two-day event dedicated to advancing knowledge in data technologies.
Thanks to dbi-services to let me the possibility to attend this event.

Thursday, May 28, 2026

The first day was dedicated to pre-conference Workshops. I choose the workshop “Performance optimization by identifying and correcting bad SQL code” with Uwe Ricken as a speaker.
During the full day, Uwe shown us through different realistic scenarios how to identify, analyze and optimize inefficient SQL Codes with usage of tools like Query Store, Windows Admin Center or even Perfmon.

Friday, May 29, 2026

The second day started with the Keynote session by Jorge Docampo Carro, Senior Program Manager at Microsoft.
He shown us that AI is no longer just used to create peace of codes, it is becoming an active collaborator in how Spark jobs, lakehouses, and data pipelines are designed, implemented, and operated.
Moreover Visual Studio Code is appearing as a preferred workspace for Fabric data engineering — bringing notebooks, Spark job definitions, environments, and lakehouse artifacts directly into the developer experience.

I then followed a very interesting but quite intensive session of Torsten Strauss named “A Deep Dive into Optimized Locking in SQL Server 2025”.
During this session Torsten talked about the introduction with SQL Server 2025 of Optimized Locking and Lock After Qualification (LAQ) to reduce contention and improve concurrency.
He explained that LAQ defers lock acquisition until rows are fully evaluated, meaning only qualifying rows are locked instead of locking during the scan phase. This significantly lowers the number and duration of locks, reducing blocking, deadlocks, and lock escalation in high-concurrency workloads.
He shows us this new Locking mechanism through different concrete examples. The improvements are especially impactful for large updates, selective queries, and OLTP systems with heavy parallel activity. Combined with proper indexing, transaction design, and features like RCSI, these enhancements enable higher throughput and more stable performance.

In the Afternoon I saw an interesting session from Uwe again about the Security Techniques for cross database access. It was a good refresh on how to grant access but keep the security at a high level to protect data. Discussions and examples turned around Synonyms, signed Stored Procedures and Trustworthy database options.

I joined also some sessions more related to PowerBi, Fabric or AI which were also really interesting even if I’m not an expert in those domains.

It was my first time at Data Point Prague #DataPointPrague but certainly not the last one as this conference is really well organized. The first full day workshop was really great and the second day with more than 30 sessions let you choose the ones you are interesting on.
Thank you very much for this event and see you next time 😉