Microsoft Reactor Tel Aviv

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

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

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