Are you already working with Real-Time data in your cloud platform?

This is no longer the domain of IoT, every data engineer will encounter streams of data to manage. Crossing the streams adds value!

Next to batch processing, Microsoft Fabric includes Real-Time Intelligence where continuous flows of TimeSeries data can be ingested, queried, and turned into actions.

Attendees will learn to set up real-time data stream ingestion and process messages for filtering, aggregation, or transformation. Storage of time-series data and querying using KQL is demonstrated, adding value to the raw data. Activating your data into automatic notifications based on basic rules is also covered.

Tools like Real-Time Hub, KQL databases, KQL Queryset, Eventstreams, Data Activator, and more will be demonstrated.

Expect a demo-packed presentation for both data engineers and IoT developers.

This presentation focuses on the Real-Time Analytics part of Microsoft Fabric. See also my well-received 10-part blog series about this topic.