Exercise 06: Explore real-time intelligence in Fabric

Scenario

Zava wants near real-time visibility into in-store conditions during peak shopping periods using IoT telemetry.

Objectives

In this exercise, you’ll:

• Explore how Microsoft Fabric supports near real-time analytics by ingesting IoT telemetry from Azure Event Hubs into a KQL database.
• Learn how streaming data can be queried using Kusto Query Language (KQL) to identify anomalies-such as sudden temperature spikes-and support timely decision-making.

Duration

Estimated time to complete this exercise: 30 minutes.

---

Table of contents

• 1. Start the thermostat and occupancy simulator
• 2. Create a KQL database and an Eventstream
• 3. Analyze data by using KQL and anomaly detection
• 4. Create a real-time dashboard by using Copilot