As organizations evolve their data platforms to serve their businesses more effectively, there is an increasing demand for event driven patterns, handling and processing raw, highly granular data as well as real-time insights and actions vs stale reports. This hands-on workshop is for data professionals who are looking to answer the following questions:

1. I want to process, visualize, act and react when events occur in my operational systems (Point of Sale, Trading, Hospital Management, ERP, etc.)
2. I want continuous, granular insights and not only scheduled aggregates
3. I want (near) real-time reporting and inferencing
4. I want to interact and engage with my customers in near real-time
5. I want to act and react to events as they occur in my physical or digital assets
6. I want to contextualize telemetry, IoT and events data
7. I want to handle changing/drifting schema without breaking my pipelines

In this full day workshop, participants will get hands-on in building a real-world solution using Microsoft Fabric’s Real-Time Intelligence items including Real-Time hub, Eventstream, Eventhouse, Lakehouse, Real-Time Dashboard, Power BI, Activator, Digital Twin Builder, Data Agents and Operational Agents.

Participants will:

• Start by understanding the Microsoft Fabric items within the scope of the workshop
• Examine the business scenario developed throughout the workshop
• Understand the data and begin loading it
• Build the end-to-end architecture, which includes:
  • • Creating CDC streams from a database
    • Connecting to a streaming data source
    • Developing data transformation and enrichment logic
    • Creating digital twin models
    • Forming a target data model
    • Building dashboards and reports
    • Setting up data and operational agents
    • Creating an event-driven action flow
• Learn about cost and performance considerations of the architecture

The case for this workshop is based on customer scenarios seen in production. Participants will leave with a working solution and an architectural understanding that they can replicate for their organizations or customers.