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Reid Havens ‍♂️, Steve Campbell

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Solid data architecture is key for a scalable and maintainable pipeline, but can be difficult to implement. This session is for those familiar with Power BI or new data engineers, providing a step-by-step guide to Bronze, Silver, and Gold layers. Users will gain an overview of Medallion Architecture, Warehouses and Lakehouses, Delta and Parquet, GIT integration, monitoring, and compare available Fabric tools. This is a hands on, lab filled session. Python or SQL is a bonus but not required. *Please note that this workshop is hands-on and requires attendees to bring a laptop to participate.

Wee Hyong Tok, Faisal Mohamood

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Are you looking at how you can get started with Fabric Data Factory? In this session, you will learn how Fabric Data Factory is empowering developers to build data integration solutions. This session will get you up to speed with exciting product innovations and Fabric Data Factory roadmap.

Tino Tereshko

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Fabric Data Warehouse has been built from the ground up in 2020s, inspired by industry state-of-the-art. In this session we unveil new features designed to make it easier to manage and get the most out of your analytics workloads with Fabric Data Warehouse.

Mark Kromer, Mario Zimmermann

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Building pipelines in Fabric Data Factory is easy. But did you know that you can go beyond data pipelines and build powerful orchestration workflows in Fabric Data Factory that also include Python-based Apache Airflow DAGs? Learn everything you need to know about becoming an orchestration pro!

Jon Christian Halvorsen

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Still landing data the old way? You’re paying too much for it. Open Mirroring in Microsoft Fabric is faster, simpler and free as in free beer. In this deep-dive, learn how to build and tune open-mirroring pipelines with Python, measure real-world performance, and see why this cost-free pattern should be your default for data landing.

Abhishek Narain, Michaela Isaacs

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Fabric Data Factory enables organizations unify their data estate with OneLake. Security is paramount. You will learn how to secure your data ingestion, transformation using workspace identity auth and Azure Key Vault integration, implement network isolation (Private Link and VNet gateway) for accessing data behind firewall. Operationalization is another important aspect. You will learn to operationalize pipeline, dataflow gen2 with variable library, build metadata driven pipelines and more. *Please note that this workshop is hands-on and requires attendees to bring a laptop to participate.

Reza Rad

This session is primarily about power bi & semantic models within the Microsoft Fabric and SQL ecosystem. Dataflow Gen2 is the core data transformation tool in Microsoft Fabric, powered by the Power Query engine. In this hands-on workshop, attendees will learn to build scalable solutions by extracting data from diverse sources, implementing data transformation and ETL patterns, optimizing performance, leveraging query folding, using parameters and custom functions, utilizing M scripting, applying best practices, debugging techniques, and integrating with pipelines for end-to-end data integration. *Please note that this workshop is hands-on and requires attendees to bring a laptop to participate.

David Hrncir, Kelly Kohlleffel

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Learn practical patterns for building an end-to-end data lifecycle in Microsoft Fabric. This session covers architectures for centralizing diverse data into ADLS and OneLake, orchestrating transformations, and activating governed, analytics-ready data for AI workloads across the Microsoft ecosystem, with guidance for scalable, secure, and production-ready deployments.

Thomas LeBlanc, Nikola Ilic

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. The session shows an analyst how to use notebooks to perform the same actions as Dataflow Gen2. Looking at 4 areas: source, transformation, cleansing, and destination, examples include append/merge query to dataframe joins, text replace functionality, split and concatenate columns, as well as pivot/unpivot, data type changes, and removing duplicates. We will finish off with engine optimizations.

Michael Destein

This session is primarily about power bi & semantic models within the Microsoft Fabric and SQL ecosystem. Learn how to create a 360-degree, contextual view across all your OneLake data in Microsoft Fabric. See how to perform high-quality data matching using Entity Resolution techniques across different entity types, eg. people, businesses and locations. Accurately link data across sources and enrich incomplete data. Break down silos and get your data ready for AI, powering better and faster decisions.

Erwin de Kreuk

This session is primarily about sql server & databases within the Microsoft Fabric and SQL ecosystem. Ready to learn how to build your AI foundation? Discover how Microsoft Fabric’s metadata-driven framework, combined with Data Factory and a Fabric database, powers automated data integration for AI-ready environments. Gain insights on governance, scalability, and accelerating AI-driven analytics.

Armando Lacerda

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. You're a SQL SSIS ninja, and now Microsoft Fabric is calling your ETL pipelines to the cloud. In this session, you will learn how to bridge your SSIS skills to the more scalable and more performant and integrated SaaS environment with live demos and feature comparisons.

Cristian Angyal

This session is primarily about power bi & semantic models within the Microsoft Fabric and SQL ecosystem. Want to get started with Dataflow Gen2 without stress? This session explains what DFG2 is, why it matters, and how it fits into Microsoft Fabric. We’ll build a dataflow from scratch, connect multiple data sources and apply proven Power Query patterns to clean messy data, consolidate files, reuse logic with parameters, publish to a Lakehouse, and configure a simple, reliable refresh.

Mark Kromer, Pat Mahoney

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Looking to simplify your data integration landscape while gaining the performance & cost efficiencies of Microsoft Fabric? We’ll walk through Azure Data Factory, Synapse pipelines, Dataflows & MDF migrations to Fabric Data Factory. You’ll learn how Fabric's data unification is a perfect fit for existing pipelines & dataflows, dramatically reducing operational overhead and introduce our new migration tools.

Sean McGinnis

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Join Esri to see how location intelligence can revolutionize your data strategy and give your organization a competitive edge. Esri's ArcGIS technology brings interactive mapping and advanced location-based analytics to Microsoft Fabric. Discover real-world success stories and learn how organizations are using location intelligence to uncover patterns, predict trends, and make smarter decisions.

Mihir Wagle, Miguel Llopis

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Dataflows Gen2 in Fabric Data Factory provides a low-code data transformation feature in Fabric that accelerates your time to production. The Dataflows Product Team will share future product plans and provide deep dive insights into how to take advantage of Dataflows Gen2 in Fabric.

Andrew Sommer, Lakshmi Ponnurasan

This session is primarily about power bi & semantic models within the Microsoft Fabric and SQL ecosystem. Higher ed generates massive data across admissions, enrollment, advising, and alumni, often stuck in silos. This session shows how Power BI unifies it through real examples: funnels, trends, retention, student success, faculty workload, and outcomes. Learn to model complex structures, clean data, and build clear visuals you can apply immediately.

Cristian Angyal

This session is primarily about power bi & semantic models within the Microsoft Fabric and SQL ecosystem. Modern data solutions depend on reliable pipelines, yet error handling and data quality checks are often overlooked until failures occur in production. This session dives deep into building resilient Dataflows Gen2 solutions leveraging try/otherwise, structured error outputs, custom error messages, and partial failure patterns, centralizing error logs in dedicated tables for downstream monitoring.

Meagan Longoria, Justin Cunningham

This session is primarily about sql server & databases within the Microsoft Fabric and SQL ecosystem. Explore how Mirroring for SQL Server in Fabric really works: what happens on the source database, how data lands in OneLake, data retention policies, monitoring and logging, configuration of replicated objects, and which scenarios require restarting replication.

Mohan Sankaran, Chris Webb

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Join us for an in-depth session on Performance Tuning Tips for Fabric Data Factory, with a focus on the Dataflow Gen2, Pipeline, and Copy Job artifacts. Discover strategies to optimize your data workflows, enhance efficiency, and maximize performance. Don’t miss out on expert insights that can revolutionize your data management practices.

Philipp Kiencke

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. In this session, we showcase our SAP Clean Core Certified integration with Microsoft Fabric, enabling seamless, real-time replication into OneLake. Discover how to simplify SAP data workflows, accelerate insights with ready-to-use pipelines, and apply proven best practices—supported by a live demo and guidance from dab experts.

Maraki Ketema, Ajay Kavuri

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. As data volumes grow, managing an organization-wide data estate is increasingly complex. This session will deep dive into the latest capabilities to unify your data in OneLake via shortcuts and mirroring. Join us to learn how to unify your data estate, streamline ingestion, and unlock new business insights using AI and analytics.

Endika Pascual

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Production-grade Microsoft Fabric implementations require coordinated ingestion, data refinement, warehouse operations, and governance. This session examines how Data Factory pipelines, OneLake Medallion architecture, and Fabric Warehouses work together in automated platforms, focusing on orchestration and warehouse automation patterns for reliable, repeatable analytics.

Nina Arora-Rowland, Colin Pop

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. What happens when data engineering meets agentic AI? In this technical session, we explore how autonomous agents are reshaping the way pipelines are built, managed, and evolved on Microsoft Fabric. From real-world scenarios to emerging architectural patterns, we’ll examine how intelligent systems can move data operations beyond static scripts toward adaptive, context-aware workflows. We’ll also address practical considerations around governance, trust, and enterprise readiness as teams experiment with more autonomous data environments. Join us to unpack what it takes to move from traditional pipelines to intelligent, evolving data systems.

Tom Eastlake, Jason Miles

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Learn how digital workers, supported by the Agent Framework and digital workforce management best practices, can run your Fabric data estate. Discovery, Observability, Continuous Optimization, Quality & Drift are just some of the key workloads that can be automated using agents. See how you can identify and implement the digital worker roles which make the most sense for your enterprise.

Robert Saxby, Surya Turaga

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Get the most out of your investments with Azure Databricks. Learn how the deep integration in the Azure ecosystem accelerates workloads, optimizes performance, and maximizes value. See how the Databricks Data Intelligence Platform on Azure streamlines analytics and AI.

Chike Eduputa

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. See how AI agents, Power Platform and SQL can replace legacy RPAs and manual processes. Learn patterns for using copilots, data agents, APIs and orchestration flows in Copilot Studio to modernize automation, reduce cost and transform business operations.

Lalit Goyal, Tyler Stemm

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Microsoft Fabric is rapidly becoming the unified platform of choice for enterprises seeking to modernize data engineering, analytics, and AI. But migration from Synapse, ADF, Snowflake, Databricks, and on-prem systems requires more than a lift-and-shift.

Noelle Li, Sean Mirabile

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. In this session, you’ll learn how to design and implement robust data integration patterns using Data Factory in Microsoft Fabric to create powerful solutions.

Shireen Bahadur, Shiv Narayanan

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Discover how OneLake brings SharePoint lists and documents into a unified data foundation, enabling seamless integration with Microsoft Fabric. Learn how to unlock AI-powered insights and analytics directly from your SharePoint content—transforming collaboration into intelligent decision-making.

Ravi Gunturu

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Modernize your end-to-end data platform to Fabric and unlock AI/ML enabled potential in workloads, analytics, and collaboration. During this session, we will focus on agentic AI methods of automation during the migration process, achieving 60% improvement in productivity.

Alex Carvalho, Rick Weber

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. In this case study, Protective Industries transformed fragile pipelines by shifting architecture—not the business. See how Fabric SQL Mirroring replaced brittle ingestion, cut technical debt, and delivered a stable, low-latency foundation. Learn how unified ERP analytics, governance, and scalable patterns created a sustainable, enterprise-ready Fabric implementation.

David Mills

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Data Quality issues drain engineering time and weaken business confidence in data platforms. What if Fabric Data Agents could detect DQ issues autonomously, analyse their root cause, and guide engineers directly to a fix? This session demonstrates the full architecture with a live demo - capturing DQ signals, triggering agent-led investigations, and integrating agent outputs into ETL pipelines.

Duan Uys

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Migrating from SQL Server or Synapse to Microsoft Fabric can be complex. In this session, discover how automation simplifies schema conversion, dependency mapping, orchestration, and documentation to reduce manual effort by up to 80%. Learn step-by-step best practices for migrating to Fabric and integrating OneLake, Data Factory, and Purview for a governed, automated future.

Paula Cristina Berenguel, Guy Bowerman

This session is primarily about sql server & databases within the Microsoft Fabric and SQL ecosystem. What is new with Azure Database for PostgreSQL Mirroring in Fabric? Explore the latest enhancements that simplify data movement and integration. We’ll take a deep dive into the zero-copy, live replication architecture—showing how PostgreSQL data flows seamlessly into OneLake without ETL. Plus, see it in action with a live demo!

Alp Akdeniz, Khaled Ahmed

This session is primarily about sql server & databases within the Microsoft Fabric and SQL ecosystem. Microsoft Fabric has fundamentally changed how enterprises store, model, and analyze data — but many organizations still struggle to turn that data into real-time operational and financial decisions. In this session, we will explore how to design an enterprise-grade planning and forecasting architecture natively on Microsoft Fabric, using Azure SQL, Power BI, and modern data pipelines to enable real-time write-back, scenario modeling, and governed collaboration across large organizations. Attendees will learn how to: - Architect a Fabric-native planning environment that supports concurrent users, auditability, and data integrity - Design write-enabled analytical models using Azure SQL, Fabric Warehouses, and Power BI - Implement scenario modeling, forecasting, and what-if analysis directly on enterprise data - Apply governance, security, and performance best practices for mission-critical workloads - Avoid common pitfalls that cause Fabric-based planning solutions to fail at scale The session will include a live technical walkthrough of how data moves from Fabric into planning and forecasting workflows, how user inputs are written back securely, and how changes propagate through enterprise-grade models in real time. Whether you are modernizing an FP&A platform, enabling operational planning, or deploying large-scale analytics on Fabric, this session will provide practical patterns and architecture that you can apply immediately inside your own Microsoft environment.

Wilson Lee, Matt Hicks

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Join us to see how Microsoft Fabric and OneLake unify your business data estate with petabyte-scale data movement and Mirroring. Discover best practices for copying, replicating, and virtualizing data from SAP, Oracle, Google BigQuery, Dataverse, and more—leveraging enterprise proven patterns to accelerate analytics and unlock actionable insights.

Nikola Ilic

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. No ETL - no problem! Fabric introduced several innovative features to access external data without spending time on building complex ETL. But, which one is right for YOU? We'll examine various data movement strategies, their pros and cons, so you'll feel more confident picking the right one