DP-603T00 Implementing Real Time Analytics with Microsoft Fabric
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- 287 Courses
- Source streaming data sources into Microsoft Fabric.
- Use real time Eventstream in Microsoft Fabric.
- Query data in a KQL database in Microsoft Fabric.
- Create real time dashboards in Microsoft Fabric.
Upcoming Class Schedule
$695.00
Aug 20 - Aug 20, 2026
9:00 AM - 5:00 PM America/New_York- VILT
- Dec 28 - Dec 28, 2026
- 9:00 AM - 5:00 PM America/New_York
- VILT
Prerequisites for DP-603T00 Implementing Real Time Analytics with Microsoft Fabric Course
DP-603T00 Implementing Real Time Analytics with Microsoft Fabric Course Outline
- What is real-time data analytics?
- Real-Time Intelligence in Microsoft Fabric
- Ingest and transform real-time data
- Store and query real-time data
- Visualize real-time data
- Automate actions
- Module assessment
- Components of Eventstream
- Eventstream sources and destinations
- Eventstream transformations
- Module assessment
- Get started with an Eventhouse
- Use KQL effectively
- Materialized views and stored functions
- Module assessment
- Get started with real-time dashboards
- Organize and filter dashboard data
- Dashboard management and optimization
- Module assessment
- Configure Activator for your data
- Create rules in Activator
- Configure actions in Activator
- Module assessment
Resources
FAQs on DP-603T00 Implementing Real Time Analytics with Microsoft Fabric
This course teaches how to implement real-time analytics in Microsoft Fabric, covering Eventstream ingestion, Eventhouse (KQL) data storage and querying, real-time dashboards, and using Activator to automate actions based on data patterns.
Students should be able to log in to the Azure portal, use real-time Eventstream in Microsoft Fabric, create and explain resource groups, and understand the fundamentals of streaming data before taking this course.
This course is designed for data engineers, analytics professionals, and BI developers who need to build and manage real-time data solutions using Microsoft Fabric’s Real-Time Intelligence tools.
You’ll learn to ingest and transform streaming data with Eventstream, query and store data in Eventhouse using KQL, build real-time dashboards, and configure Activator to trigger automated actions based on data conditions.
The course is organized into five modules: getting started with Real-Time Intelligence, using Eventstream, working with Eventhouse data via KQL, creating real-time dashboards, and configuring Activator, each with a module assessment.