Data Point Prague 2026

Overview

Data Point Prague 2026 is a two-day practical data and analytics conference taking place in Prague, Czech Republic. The event gathers data professionals from across the industry to explore real-world data tooling, platforms, and workflows. In 2026, the conference moves to well appointed venues in Prague, including Clarion Congress Hotel Prague and Cubex Centrum Prague, chosen for comfort, reliability, and seamless logistics. The program focuses on actionable, hands-on content designed for data engineers, BI developers, and data platform practitioners who want to elevate their craft with concrete techniques and real-world use cases. Attendees can expect a blend of keynote talks, technical sessions, pre-conference workshops, and practical labs that facilitate networking and knowledge sharing among peers.

Agenda

The conference spans two days with a mix of sessions, workshops, and hands-on labs. The agenda centers on data engineering, analytics, and modern data platforms such as Microsoft Fabric and Spark, with a strong emphasis on practical deployment and production readiness. Pre-conference workshops on May 28 run full day and offer in depth, practice-oriented training on CI/CD for data projects, architectural considerations for lakehouses, and related tooling. May 29 features a full conference program including sessions on Fabric, Power BI, SQL optimization, AI driven analytics, and data engineering patterns. Attendees can explore a curated set of tracks, such as DataOps with CI/CD pipelines, advanced data visualization, and performance tuning.

Pre-conference

Pre-conference workshops are designed as full-day, hands-on experiences. You can expect:

• Architectural planning for scalable data platforms
• Infrastructure as Code with Terraform and Fabric deployments
• End-to-end CI/CD workflows for Power BI and Fabric
• In-depth sessions on data ingestion, modeling, and security in a lakehouse context
• Practical labs and real-world scenarios to reinforce learning

Program highlights

Keynotes feature leaders from the Fabric and data engineering community. The program includes sessions that explore how AI and agentic experiences are impacting data tooling, the role of GitHub Copilot and VS Code in Fabric data engineering, and how to design governance and automation into data pipelines. Workshops cover topics such as building and deploying lakehouses on Fabric, DAX and Power BI enhancements, SVG visualizations, and advanced data visualization techniques with modern BI tools. The program also presents sessions on performance optimization for SQL and data processing, and demonstrations of real-world architectures, blueprints, and playbooks that participants can reuse in their own environments.

Speakers

Expect a lineup of seasoned practitioners and industry experts including BI architects, data engineers, and Microsoft Fabric enthusiasts. Speakers cover topics from Power BI development and Fabric integration to data visualization, architecture, and performance optimization. Names highlighted on the program include senior engineers and consultants with deep domain experience in data platforms, as well as respected contributors from the broader data community.

Format and audience

The event emphasizes practical, hands-on learning with a mix of talks, demonstrations, and lab-style sessions. It is suitable for Power BI developers, Fabric engineers, BI architects, and data platform professionals who want to implement or scale CI/CD, improve data workflows, and enhance their data governance and operational practices. The conference also emphasizes networking, collaboration, and the exchange of practical tips that attendees can apply immediately in their organizations.

FAQs

The page indicates a strong focus on practical sessions and hands-on learning, with prerequisites kept accessible for attendees new to CI/CD and cloud tooling. Attendees should prepare for two full days of content, with pre-conference workshops on day one and core conference sessions on day two. For those seeking more, the venue information and partner details are provided on the event page, highlighting sponsorship tiers and opportunities to connect with peers and vendors in the data space.