Microsoft Fabric FabCon Global Hackathon

4:00 odp. - 5:00 odp. (UTC)

We’re calling all Data and AI enthusiasts to join the official Hackathon Kick‑Off! This is your starting point to understand what the hackathon is all about, explore the categories, and discover the resources that will help you succeed. We’ll share lessons from previous hackathons, highlight what makes a winning submission, and give you a sneak peek at the upcoming livestream series designed to level up your skills. Most importantly, come and meet fellow hackers, mentors, and experts who will support you throughout the journey. Whether you already have an idea or are looking for inspiration, this session will help you turn curiosity into action. Come ready to connect, learn, and start shaping your hack! What you’ll learn: How the FabCon Hackathon works and what’s new this year Where to find starter resources, templates, and skilling paths Tips from past hackathons to help you hit the ground running To help you continue exploring the topics we covered, we’ve compiled key session resources for you: 🔍 Explore the Global Fabric Hackathon repo Official plan - Build AI-Powered Data Solutions with Microsoft Fabric

4:00 odp. - 5:00 odp. (UTC)

Getting data into OneLake is the first step to unlocking analytics and AI in Microsoft Fabric. In this session, we will explore some the integration options, including Shortcuts, Dataflows Gen2 and Eventstreams, and then focus on Open mirroring. Open mirroring allows your applications or partner tools to write change data directly into a mirrored database through a landing zone. Fabric’s replication engine handles updates and converts files into Delta tables that are ready for analytics across Fabric. You will learn how Open mirroring differs from traditional integration methods, when to use it, and how to configure it for near real-time sync. We will also share best practices for structuring mirrored data so it is easy to consume in BI and AI scenarios. What you will learn When to use pipelines, Dataflows Gen2, Eventstreams, or Open mirroring How to configure Open mirroring and landing zones How to prepare mirrored data for analytics and AI 🔍 Explore the Global Fabric Hackathon repo Official plan - Build AI-Powered Data Solutions with Microsoft Fabric

4:00 odp. - 5:00 odp. (UTC)

Real-Time Intelligence in Microsoft Fabric helps you turn streaming data into actionable insights. In this session, you will learn how to connect event sources, process data in motion, and act on signals without complex infrastructure. We will introduce the Real-Time hub, show how to ingest data using Eventstreams, and demonstrate how to store and query events in Eventhouse using KQL. You will also see how to create a Real-Time Dashboard for live monitoring and use Activator to trigger automated actions when conditions are met. The session includes a practical demo and resources to help you apply these patterns in your hackathon project or production scenarios. What you will learn: How to ingest and route events with Eventstreams How to store and query data in Eventhouse using KQL How to build dashboards and trigger actions with Activator

4:00 odp. - 5:00 odp. (UTC)

Modern apps need a fast operational store and a simple path to analytics and AI. Fabric Databases give you both inside Microsoft Fabric. You will see how SQL database in Fabric provides a developer‑friendly relational database based on the Azure SQL Database engine, while automatically making your data available in OneLake for analytics without extra pipelines. This lets you power notebooks, BI, and real‑time scenarios from the same operational data. We will also introduce Cosmos DB in Fabric, an AI‑optimized NoSQL database that supports vector indexing and hybrid search for intelligent application experiences. You will learn when to use each database, how automatic replication to OneLake works, and how to expose data to applications using familiar tools and a GraphQL endpoint pattern. The demo shows a small app that writes to a Fabric database, lights up analytics in Fabric, and surfaces AI features for a complete, end‑to‑end workflow. What you will learn When to choose SQL database in Fabric for relational workloads versus Cosmos DB in Fabric for semi‑structured data and AI features like vector and hybrid search. How automatic replication to OneLake enables analytics and BI on operational data without building ETL first. How to connect your app and expose data using standard connection strings and a GraphQL pattern for modern APIs

4:00 odp. - 5:00 odp. (UTC)

AI in Microsoft Fabric is designed to help you work smarter with your data. In this session, you will learn how Copilot accelerates analytics by generating queries, building models, and creating visualizations using natural language. We will explore AI functions in notebooks, which make it easy to apply enrichment such as summarization, sentiment analysis, and entity extraction with a single line of code. You will also see how AI-powered transforms on OneLake shortcuts can automatically process text files for summarization, translation, or PII detection without building pipelines. Finally, we will show how Data Wrangler provides an interactive way to clean and shape your data inside notebooks while generating reusable code. Through a live demo, you will see how these capabilities combine to help you deliver insights and intelligent features quickly for your hackathon project. What you will learn How to use Copilot for modelling and analytics How to enrich data with AI functions and shortcut transforms How to prepare and transform data efficiently with Data Wrangler