Welcome to one of Europe’s largest technical conferences for data professionals.

Amplify Your Experience: How to Start Writing and Speaking

Turn vague tech ideas into clear, audience-focused stories you can write or present. Learn simple techniques and communication rules to explain complex topics with purpose. Be ready to boost your impact on stage, while blogging and or just at work.

20 Years of the Cloud: What Changed, What Didn’t, and What’s Next

Brent Ozar leads a panel of experienced data professionals reflecting on 20 years of the cloud. With no vendor marketing, they discuss what actually changed, which problems never went away, and what they expect to face in the next 20 years based on real-world experience.

42 TSQL Functions

Demoing 42 TSQL functions that will make your DBA and/or developer life easier. This session is 99% demo and sharing code.

5 Design Patterns for Better Looking Reports

Designing great Power BI reports doesn’t have to be hard. Join us to explore clear, repeatable steps that make your reports consistent, functional, and user-friendly.

7 Simple Strategies to Combat Imposter Syndrome

Do you feel like a fraud? You are not alone. In this session, we will identify the signs of imposter syndrome and how it impacts professionals in tech. Join me to learn the specific strategies that helped me overcome self-doubt so you can do the same.

A Deep Dive into Table Partitioning – Part 1: Mechanics and Performance

A practical, demo-driven deep dive into SQL Server table partitioning. Learn how partitioning works under the hood, why partition elimination succeeds or fails, and how design and maintenance choices impact performance and reliability in real systems. Learn how table partitioning works internally in SQL Server. This Part 1 session covers partition functions and schemes, physical row placement, partition switching, splitting and merging, and the mechanics behind partition elimination—supported by practical demos and execution plan analysis.

A Deep Dive into Table Partitioning – Part 2: Design, Maintenance, and Troubleshooting

A practical, demo-driven deep dive into SQL Server table partitioning. Learn how partitioning works under the hood, why partition elimination succeeds or fails, and how design and maintenance choices impact performance and reliability in real systems. Learn how table partitioning works internally in SQL Server. Build on the partitioning mechanics from Part 1 and focus on real-world usage. This session explores partition key selection, aligned and non-aligned indexes, maintenance strategies, and how to diagnose and fix common performance problems in partitioned tables.

A Step-by-Step Guide to Building a Data-Driven Culture

Learn how to build a data-driven culture using practical strategies, strong leadership, and Power BI. Discover the blueprint for overcoming resistance, empowering teams, and transforming how your organisation uses data.

A Whirlwind Tour of the Fabric Capacity Metrics App

Fast tour of the Fabric Capacity Metrics App; learn to read key visualisations, spot performance issues, understand capacity behavior, and turn insights into quick, actionable optimizations to keep your Fabric environment running smoothly.

Advancing the Role of SQL Server DBA in the Era of AI: Becoming an Azure SQL DBA - Part1

Learn how to transition from a traditional SQL Server DBA to an Azure SQL DBA in the AI era by understanding which tasks to retain or delegate to the cloud, mapping core DBA responsibilities to Azure SQL, and using Copilot and AI tools to boost productivity and focus on higher-value work.

Advancing the Role of SQL Server DBA in the Era of AI: Becoming an Azure SQL DBA - Part2

Learn how to transition from a traditional SQL Server DBA to an Azure SQL DBA in the AI era by understanding which tasks to retain or delegate to the cloud, mapping core DBA responsibilities to Azure SQL, and using Copilot and AI tools to boost productivity and focus on higher-value work.

AgentBricks vs Mosaic AI

Databricks now offers two paths for building enterprise AI agents: AgentBricks and Mosaic AI. Join Tori and Gavi, 2 AI MVPs as they compare these capabilities, architecture, and ideal use cases. We’ll explore how AgentBricks simplifies agent creation with automated evaluation, synthetic data, and low‑code workflows, while Mosaic AI provides the broader infrastructure for model governance, routing, observability, and production‑grade agent systems. Attendees will learn when to use each, how they work together, and how to build scalable agentic applications across the Databricks platform.

Agentic AI and Your Data: Building Competitive Advantage

This session explores how AI agents become the primary interface for querying, analyzing, and actioning your data—democratizing insights across your organization. We will showcase a live demo of autonomous agents executing real-time transactions across multiple databases delivering measurable business outcomes.

AI Beyond the Hype; Practical Solutions for Real Businesses

AI can feel overhyped and inaccessible. This session cuts through the noise, showing how practical AI solutions can be built using Azure AI, Copilot Studio, and AutoML. Ideal for data and tech professionals wanting real, usable AI.

AI-Augmented Query Optimization: SQL Server 2025 Meets Fabric Self-Healing Data Platform

SQL Server 2025 introduces groundbreaking capabilities for performance optimization and observability, while Microsoft Fabric brings unified analytics and AI-driven insights. But how do we combine these innovations to build a truly resilient, self-healing data platform? In this session, we’ll explore AI-Augmented Query Optimization and Fabric Observability to tackle real-world challenges like unpredictable workloads, query regressions, and performance bottlenecks. You’ll learn: Who this is for: Data engineers, DBAs, and architects managing mission-critical SQL workloads in hybrid or cloud environments. What problem it solves: Eliminates manual troubleshooting by leveraging telemetry, ML notebooks, and AI-driven root-cause analysis. What you’ll take away: A practical blueprint for creating a Self-Healing SQL Fabric Dashboard that combines SQL telemetry with Fabric ML for automated anomaly detection and performance tuning. Expect live demos, POC architecture, and actionable strategies to future-proof your data platform with SQL Server 2025 and Microsoft Fabric.

AI-Powered SQL Server: Transforming Database Management with AWS Kiro and MCP

Discover how AWS Kiro and Model Context Protocol (MCP) servers are transforming SQL Server management. Learn how AI-powered automation and natural language commands can simplify routine tasks, optimise queries, analyse schemas, and improve performance helping database professionals work faster, smarter, and more efficiently.

All about Indexes - Part 1

Indexes are essential to good database performance, but it can be hard to decide what indexes to create. In this session we'll look at guidelines for index creation

All about Indexes - Part 2

Indexes are essential to good database performance, but it can be hard to decide what indexes to create. In this session we'll look at guidelines for index creation

Amp Up Your SQL Server Infrastructure for AI

Cutting edge innovations and thoughtful optimizations go hand-in-hand as AMD and Microsoft collaborate to bring you best-in-class solutions with record-shattering performance and easy-to-use built-in AI features of SQL Server 2025. Learn how modernizing your infrastructure with AMD EPYC CPU-based platforms can greatly enhance query response times, reduce energy and license costs, and provide overall TCO savings for your deployment. Session will include performance and TCO comparisons, and a demo of hybrid vector search using SQL Server 2025, running on AMD EPYC CPUs.

An Apache Spark query's journey through the layers of Microsoft Fabric

Follow an Apache Spark SQL query from optimizer to execution across Spark and Microsoft Fabric. Catalyst, Tungsten, Fabric’s native C++ engine, and the Delta Lake/Parquet storage layers are covered, grounded in Spark source code, with practical tips to optimize for speed and cost.

An introduction to Extended Events

Are you ready to dive into the awesome world of MSSQL Extended Events! In this presentation, we'll explore this great feature in Microsoft SQL Server that helps you monitor and troubleshoot database performance.

An Introduction to the Snowflake Data Platform

New technologies—from data lakes to LLMs—constantly create new silos, forcing a critical choice: manage the chaos or build a foundation for intelligence. As the industry evolves, one truth remains: there is no AI strategy without a data strategy. This session explores how the Snowflake AI Data Cloud enables you to break down these barriers, moving beyond the traditional data warehouse to a fully managed, unified platform that integrates data engineering, analytics, and AI,. Join us to demonstrate how to strengthen your data foundation, accelerate enterprise AI adoption, and distribute sophisticated applications without the operational burden of piecemeal infrastructure

Architecting Intelligence: What Powers SQL Copilots

SQL Copilots are reshaping how data professionals work—accelerating query development, improving user's efficiency, and enabling interaction with complex data. This session dives into the shared backend for copilots in SSMS, MSSQL in VS Code, and Fabric SQL, exploring architecture, top use cases, and showcasing real-world demos to help you maximize Copilot impact for your SQL database.

Are Snapshots Backups? Revisiting Modern Data Protection for SQL Server

A few years ago, we asked the question: "Are snapshots backups?" Since then, application landscapes have evolved, SQL Server has introduced new snapshot-aware capabilities, and data protection expectations have shifted toward faster RPOs, automated policies, and fleet-wide recovery intelligence. In this updated session, we revisit the snapshot vs. backup debate with fresh perspective. We will look at how array snapshots work and how they can provide consistent recovery points. We'll dive into SQL Server's T-SQL Snapshot Backup feature for application-consistent snapshots, common backup and restore scenarios, and show you how to build a queryable metadata-driven snapshot catalog enabling you to search snapshots by database name, instance, and timestamp across your entire storage fleet. This will be a demo-heavy session with practical scenarios and deep dives, and I'll share my opinions on why snapshots have become a cornerstone of modern data protection strategies. You will learn: How storage array snapshots work and differ from traditional backups How to use T-SQL Snapshot Backup for application-consistent database snapshots How to seed an availability group from a snapshot How to build a searchable snapshot catalog that follows your data through replication Why snapshots have become a cornerstone of modern data protection strategies