The Agenda

Learn how to design reports that matter and turn insights into action. This PreCon covers understanding your audience, creating impactful reports, and using storytelling and communication techniques to ensure long-term impact.

DAX is a simple language (but not easy at all). Its pillars, though, need to be clearly understood in order not to get confused when they interact between them in your measures, calculated columns or calculated tables. In this session the five DAX pillars (filter context, row context, context transition, iterators and expanded tables) will be explained, with examples, one by one first and then in interaction between them. Examples will be in increasing complexity order.

Power BI Desktop shines with the right tooling. This workshop dives into external tools, governance services, modern modeling features, and scalable self-service patterns so you can build reliable, high-quality semantic models end to end.

SQL Server skills transfer to Microsoft Fabric. In a one-day workshop covering Lakehouses and Warehouses, you’ll dive into engines, query plans, stats, and Delta Lake, and leave confident applying what you already know.

Query Store takes the guesswork out of SQL Server performance by revealing exactly when and why queries change, making it easier to diagnose regressions, stabilize workloads, and prevent late-night emergencies. Attend this session to learn practical techniques, best practices, and new platform capabilities that help you resolve issues quickly and keep systems running reliably. This session is ideal for DBAs, database engineers, and SQL developers responsible for maintaining performance-critical workloads.

A full day dedicated to optimize DAX code and semantic models in Power BI

Brent Ozar loves K-Pop Demon Hunters, so this demo-driven class hunts down the real causes of production slowness. Watch dev and prod face off as Brent uncovers golden clues in plans, settings, and data that explain why the same query behaves so differently.

This training day provides an end-to-end approach to designing high-performing Microsoft Fabric Warehouses. It covers loading strategies, schema and query design, performance features, Workload Management, and deployment practices, with a strong focus on performance and cost efficiency. Real project examples and feedback from data engineering teams illustrate how design decisions behave in practice. Attendees leave with a clear mental model that enables informed, scalable, and predictable warehouse design.

A full end-to-end masterclass on AI in Power BI. During this training day, we’ll cover every corner of AI in Power BI, from preparing data for AI to bringing your Power BI AI assets to life with AI.

Unlock the power of your own data by combining Microsoft SQL (SQL Server 2025, Azure SQL, or SQL Database in Microsoft Fabric) with cutting-edge AI techniques. In this workshop, you’ll learn about embeddings and vector search and why they matter for modern AI applications. We’ll guide you through generating embeddings using similarity search to retrieve the most relevant data. We’ll implement the Retrieval-Augmented Generation (RAG) pattern by calling a Chat model, then explore its limitations. Evolve into Agentic RAG and create an orchestrator to intelligently choose between running semantic search or writing a SQL query to answer complex requests. Learn to secure data access so that only authorized information is available to AI agents using Row-Level Security By the end, you’ll have built an end-to-end solution that combines SQL’s reliability with AI’s intelligence and be well prepared for SQL AI Developer certification exam.

Modernizing SQL Server workloads to Amazon Aurora PostgreSQL is often slowed by schema conversion complexity and application refactoring. This workshop demonstrates how AWS Transform uses agentic AI to automate the end-to-end modernization journey—from database assessment and schema conversion to infrastructure provisioning and application code transformation. Come and learn by doing through hands-on labs, where traditionally manual, error-prone migration steps become guided, production-ready workflows aligned with AWS best practices—reducing migration risk, minimizing developer effort, and accelerating delivery timelines.

Hands-on learning experience for migrating and running Microsoft SQL Server workloads on AWS . You'll gain experience with AWS services, while learning best practices for SQL database solutions and database management in the cloud.

Survive region failures with minimal impact. Build an active-active retail app across multiple regions using a serverless distributed SQL database — hands-on.

Hands-on workshop for deploying and managing SQL Server on Amazon RDS. Learn to configure instances, enable Multi-AZ, implement backups, secure databases, and optimize performance with AWS's fully managed service.

Learn how to transform SQL Server management using AWS agentic AI. Discover how to build AI agents that automate database tasks, generate compliance reports, and provide configuration recommendations using Amazon Bedrock AgentCore and Strands Agents SDK.

Learn how to build a data lakehouse using Apache Iceberg on AWS. Tackle real-world challenges including streaming ingestion, table maintenance, change data capture, GDPR compliance, ML experiment reproducibility, and interoperability.