Data Engineering & Architecture

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.

Josh Caplan, Dipti Borkar

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Microsoft OneLake eliminates data silos with a single intelligent storage system and provides a unified access point for all your data. This session will show you the latest capabilities coming to OneLake designed to help you unify data across clouds, secure, govern, and improve data discoverability in the OneLake catalog, and enable data sharing across domains—ensuring all data is AI-ready.

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!

Justyna Lucznik

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Fabric Data Engineering empowers data engineers to build out a lakehouse architecture and transform their data, at scale, using Spark. Join this session to learn more about the latest updates to Data Engineering in Fabric, as well as what's coming in the near future.

Eugene Paden

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Discover how AI transforms Fabric development! Learn our production-proven approach combining GitHub Copilot with Azure DevOps CI/CD for metadata-driven pipelines. We'll showcase automated notebook validation, security scanning, and AI-guided PR reviews—all without external dependencies. Real code, real results: from medallion architecture to zero-downtime deployments.

Alex Rostan, Gaston Cruz

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. What if your business apps could power real-time analytics without complex ETL? In this session, we’ll look at how Power Apps and Dataverse connect directly to Microsoft Fabric using OneLake shortcuts, so your data is available almost in real time. You’ll learn how it works and the key tips to build solutions where everyday business actions turn into insights within seconds.

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.

James Serra

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Learn how Microsoft Fabric can be leveraged with the architectures: Data fabric, data lakehouse, and data mesh. Get a tour of each architecture and explore their pros and cons. By the end of the session, you’ll have a clear understanding of how to use Microsoft Fabric to build and optimize these diverse data architectures.

Thibauld Croonenborghs

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Optimizing Spark workloads in Microsoft Fabric can be a complex endeavor, given the array of available configurations and techniques. Terms like V-Order, Z-Order, and considerations for read-heavy versus write-heavy profiles often add to the confusion. In this session, we'll bring clarity to these concepts, offering a structured overview of each optimization strategy.​

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.

Kristyna Ferris, Chris Hyde

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Learn how to design and manage data warehouses in Microsoft Fabric by exploring proven patterns, practical techniques, and common pitfalls to avoid. Topics include dimensional modeling, data warehousing fundamentals, ingestion strategies, medallion architecture, change detection, lifecycle management with CI/CD, monitoring, administration, and migrations.

Raki Rahman, Miles Cole

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Join this hands-on workshop to learn how a Microsoft engineering team uses Fabric Spark to tackle real-world data engineering challenges. Learn to build scalable data pipelines with Spark Structured Streaming, ML augmentation, and STAR Schema-based dimensional modeling. The workshop covers an end-to-end medallion architecture, leaving you with reusable code assets, patterns, and tips, to accelerate building your own enterprise-ready data pipelines that can be debugged, deployed, and tested. *Please note that this workshop is hands-on and requires attendees to bring a laptop to participate.

Dennis Carriere, Darren Goonawardana

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Learn how Bluemont Group transformed Data & AI across 100 Dunkin’ locations by replacing a vendor-controlled data warehouse with a modern, fully owned Microsoft Fabric platform. Learn how Collectiv helped them eliminate multi-day data delays, unlock historical insights, and empower managers with real-time, location-level visibility.

Manas Maheshwari, Jila "JJ" Yadav

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Leverage first class integration with Dynamics 365 / Dataverse and other business data with Fabric to generate rich insights. Featuring Lekha Kannoju, Director of Data and Analytics, CRC Industries.

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.

Marc Lelijveld

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Fabric data agent has been available for a while, yet many implementations fall short of expectations. Without the right design, the agent may struggle to align with business context, produce inconsistent outputs, or require heavy manual intervention. In this session, learn how to design smarter, more reliable agents by fine-tuning Agent Instructions, using the Data Agent SDK and training data sources.

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.

Craig Gravina

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Microsoft Fabric accelerates analytics and AI at scale but without governed, trusted data, results fall short. This session’s demo showcases how data products, and semantic models, are utilized to succeed with data and AI initiatives. Learn how modern AI-driven, DataOps-built MDM delivers trusted data products into OneLake, enabling business and agentic users to succeed with high quality data.

Aleksi Partanen, Atte Sukari

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Managing deployments across multiple workspaces per environment in Microsoft Fabric can be a challenge. Based on real projects, this session shows how to use Fabric Deployment Pipelines with proven patterns, tips, and best practices for handling cross workspace dependencies through autobinding and variable library strategies, supported by practical demos that highlight the most important concepts.

Justin Cunningham

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Materialized lake views turn Spark SQL into auto-orchestrated smart tables in your Fabric lakehouse. In this session, learn how to replace fragile ETL with declarative medallion layers, understand refresh and lineage, and decide when materialized lake views beat notebooks, jobs, or warehouses.

Rich Lamorena, Noah Mattern

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. This session will explore how the principles behind "Performance Management IQ"—an analogy inspired by Microsoft’s new "Work IQ," "Fabric IQ," and "Foundry IQ" products—can be realized using Fabric as the central data platform for AI-ready insights. Finance, operations, and HR data become harmonized in Fabric to enable powerful performance management insights for analytics, data science, and AI.

Sadiq Ahmed

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. In this fast-paced, discover how Microsoft Fabric streamlines the entire AI workflow—from data exploration to model deployment. You’ll learn how to use it for data science, train models, and generate predictions all within Fabric’s unified analytics platform. Perfect for data professionals and AI enthusiasts looking to get started with Fabric in just one hour.

Pierre LaFromboise

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Data-engineering often results in hundreds of one-offs with duplicate code and inconsistency, making change slow, brittle, and costly. We will introduce and demo new metadata and config-driven patterns for PySpark integration in Fabric. You will learn to implement reusable patterns that simplify development, scale reliably, cut duplication, and improve governance across Fabric environments.

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.

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.

Miles Cole, Daniel Coelho

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. From Delta 4.0 to Microsoft’s latest runtime innovations, dive into how Delta features really work. Learn Liquid Clustering and when to use it, why file size matters and how to put table tuning on autopilot, how to compact tables dramatically faster, and much more. Leave a time-traveling Delta Lake wizard ready to build fast, flexible, and scalable tables that deliver high-performance at any scale

Eric Melcher, Roy Hasson

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Most Microsoft Fabric initiatives don’t fail because of dashboards or models. They stall because the data behind them isn’t trusted. Join us for a hands-on walkthrough of what it really takes to stand up a production-ready master data management solution natively inside Microsoft Fabric. Whether you’re in proof of concept or preparing to go live, you’ll see the full MDM lifecycle in action. We’ll model data domains, configure integrations and connect source systems. Then we’ll define matching rules, apply data quality policies and activate stewardship workflows to resolve issues before they spread downstream. Finally, we’ll publish clean, trusted, gold-medallion master data back to OneLake so it’s immediately available to Power BI and the rest of your Fabric workloads. You’ll leave with a clear understanding of what “done right” looks like inside Fabric, the key decisions that shape your implementation and how to accelerate time to value with trusted, governed data.

Ajay Punyapu

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Ever built your Fabric data warehouse only to discover a new feature that would have saved weeks of effort? You’re not alone. This session dives into the underrated and emerging Fabric capabilities that every architect and engineer should know. Through real implementation stories, we will cover what to revisit in your current designs & upcoming releases that can impact your Fabric ecosystem.

Josh Caplan, Anavi Nahar

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Discover how Microsoft and Databricks are advancing open lakehouse architecture with interoperability between Azure Databricks and OneLake. Learn how shared data access, seamless integration, and new capabilities like mirroring, native reading, and future write support empower organizations to accelerate analytics, AI, and innovation without data duplication.

Christian Henrik Reich

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. This workshop is for SQL Server practitioners, used to reading query plans and caring about stats, stepping into Fabric. It covers Lakehouses and Spark, showing how your skills still apply in: * Understanding the Spark engine * Reading query plans and statistics * Using the Delta Lake engine The takeaway is that approaches might differ, but the knowledge carries over.

Venkata Satya Pradeep Srikakolapu

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Modern data teams expect warehouse development focused on developer experience and speed. This session shows how Fabric Warehouse delivers developer‑first workflows with familiar tools, Git‑based CI/CD, and AI Fabric skills to build and deploy with confidence. We close with a customer story using Mirroring, Fabric Warehouse, and dbt to ship a production analytics pipeline faster with higher reliability and business impact.

Eugene Grib, Shishir Tejpal

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. PwC and a global software client unpack how they re-engineered a large-scale data platform on Microsoft Fabric to help meet ambitious service-level agreements (SLAs) and accelerate business value. This technical deep dive covers hybrid Lakehouse–Warehouse design, metadata-driven ingestion, performance tuning, and early adoption of new Fabric capabilities for an AI-ready foundation.

Rob Carrol

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Ready to make your analytics sweeter? Learn why migrating to Fabric’s OneLake architecture and AI-driven features beats Synapse for speed, governance, and insights. In this demo-driven session based on real-world migrations, learn practical steps, compatibility fixes, and how tools like the Fabric Migration Assistant make moving to Fabric Data Warehouse as smooth as a Georgia peach.

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.

Ye Shuaijun

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Managing Python and JAR library dependencies is key to building reliable, performant, and maintainable Spark workflows. Learn how to ensure reproducibility through consistent dependency handling, use lightweight setups to accelerate development and testing, enable inline installs for ad-hoc workloads, and integrate private repositories for secure, compliant library management.

Mike Diehl

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Are you a Fabric developer and struggling with using good development practices? Implementing practices such as source code control, branching strategies, code reviews (PRs), and automated deployments to independent environments (ie. workspaces) can transform how you work with Fabric. We'll show how to implement them and work around the gotchas that will bite you in your Fabric projects.

Gerd Saurer, Zoe Abboudi

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. In this session, we'll show how any developer can use the Fabric Extensibility Toolkit, an evolution of the Workload Development Kit, to bring thier own data applications into Fabric within minutes. We'll also highlight how the Toolkit has been redesigned with a simplified architecture and AI to drastically streamline development.

Emily Tehrani, Peri Rocha

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Discover the powerhouse engine behind Fabric Data Warehouse and Lakehouse SQL Analytics Endpoint. We’ll trace the query journey from optimization to execution, unpack design patterns that deliver high-performance analytics, and spotlight both recent and upcoming enhancements to continue delivering fast and scalable analytics. Perfect for those who want actionable, performance-first guidance.

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.

Kevin Liu, Matt Hicks

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. OneLake enables true interoperability, enabling you to write Iceberg and Delta tables once and query them anywhere. Learn how OneLake supports data governance, Spark DML and lifecycle management while exposing the same tables to Snowflake, Athena, Glue, Fabric engines, Power BI, and AI Agents without copies.

Andy Parkerson

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Break free from browser IDE in Fabric Python and PySpark Notebooks! Learn to install Python and Spark, create your own local lakehouse, and develop Python and PySpark Notebooks in Visual Studio, VSCode, or whatever IDE you're used to. We'll start with a clean machine and download, install and configure everything we need. We will create a feature-rich notebook, and wrap up by deploying to Fabric.

Deepa Rajagopal, Pietro Morano

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. This session explores how AI is transforming data engineering. We’ll walk through the latest AI innovations in Microsoft Fabric including AI‑powered notebooks, deep Copilot integration in VS Code, and CLI workflow. We will explore how these capabilities are changing how data engineers build, iterate, and operate day to day. Discover how agentic Copilot across Fabric Web, VS Code, and CLI removes coding barriers, accelerates time to value and automates repetitive tasks, leaving engineers to focus on higher-order problems.

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.

Tim Arif, Ashit Gosalia

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Unlock the full potential of Apache Spark with this in-depth session focused on performance optimization. We’ll explore advanced configuration strategies to fine-tune executors, memory, and partitioning for maximum efficiency. Learn how to leverage Spark’s built-in tools for debugging and monitoring, including the Spark UI and metrics, to identify bottlenecks and optimize workloads.

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.

Partha Mishra

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. The "persist everything" era of data architecture is ending. Microsoft Fabric is the first platform that lets organizations make a genuine choice: persist strategically in OneLake, access external data via shortcuts and mirroring, or let AI agents retrieve directly from source systems at runtime - all under one security and governance model. This session explores the decision framework: when does persistence remain critical, and when can agents reason on-demand? Learn how the semantic layer - the Fabric IQ that grounds agents in trusted business data - becomes the governance backbone for agentic queries, and how leading organizations are compressing implementation timelines from months to weeks - shifting from project delivery to efficient, repeatable, scalable outcomes.

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.

Elizabeth Oldag, Tom Peplow

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Join this session to learn how OneLake delivers a unified SaaS data lake for your Fabric tenant, simplifying governance and enabling AI-driven insight. With blob and ADLS-compatible APIs, OneLake integrates seamlessly with existing tools. Features like tiered storage, item-size reports and diagnostic logs simplify optimization, while auto-scaling ensures fast, reliable performance as demand grows.

Eric Overfield

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Microsoft Fabric Dataflows Gen2 empowers everyone to prepare data efficiently. In this session, learn no-code steps for quick wins, low-code techniques with Power Query for flexibility, and pro-code customization with M for full control. Discover practical strategies to simplify data prep and enable governed, reusable data at scale.

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.

Christian Henrik Reich

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Microsoft Fabric Lakehouses get lots of attention, yet the Warehouse’s evolution and true potential in a lakehouse solution are often overlooked. This session covers: * Engine deep dive * Performance * Warehouse’s role in lakehouse solutions * Interoperability with Spark and lakehouses Attendees will see how the Warehouse has evolved and how to apply it effectively in a lakehouse solution.

Anu Venkataraman, Virginia Roman

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Join this demo by Microsoft AI and Spark experts to see how Fabric takes Spark observability to the next level! Learn how to stream Spark logs to Eventhouse using Diagnostic Emitter. See Fabric AI/ML tooling in action to detect bottlenecks, predict resource impact, and suggest code improvements to optimize performance and cost. Visualize the insights and recommendations in Real Time Dashboard.

Sandeep Pawar

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Prompt engineering is powerful but brittle. Hard to scale, harder to maintain. Learn how to build declarative AI pipelines in Microsoft Fabric to tame unstructured data and unlock insights. Discover pitfalls, tools, and techniques to optimize and deliver successful solutions

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.

Nicholas Leonhard

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Discover how Microsoft Fabric enables a modern Machine Learning Operation for Traditional ML. Attendees will observe a practical approach to building ML pipelines using Notebooks, Lakehouses, Pipelines, Environments, and Experiments. We'll also explore custom spark pools, data manipulation tools, and machine learning libraries.

Ted Vilutis

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Discover the capabilities of the OneLake Spark Catalog, which supports Lakehouse schemas, cross-workspace querying, row- and column-level security, and more. Examine techniques for querying objects using Spark within Fabric, including simultaneous access to Data Warehouses, Mirror Databases, and Lakehouses. Finally, review best practices and strategies for enabling OneLake Spark Catalog for all Spark runs and migrating to schema-enabled lakehouses.

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

Hukum Chandu Rokkala, Nirav (Nir) Patel

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. AI agents and Copilots are only as effective as the data platforms behind them. Learn how to build an AI-ready Frontier Data Platform using Microsoft Fabric, powered by Data Agents, shared ontology, & governance. Learn how OneLake, semantic definitions, lineage, and policy-driven access enable safe AI at scale, & how Sonata’s Lightning Data Suite accelerates readiness with prebuilt accelerators.