DP-603: Implementing Real-Time Intelligence with Microsoft Fabric

This course provides a comprehensive introduction to implementing real-time analytics and intelligence solutions using Microsoft Fabric. You will learn how to process data as it arrives, perform streaming analytics, and integrate live insights into dashboards and applications across the Fabric ecosystem.

Real-time intelligence is essential for modern analytics where insights must be generated immediately—such as live monitoring, operational reporting, and proactive alerting. In this course, you’ll explore how Microsoft Fabric enables real-time architectures by combining event streaming, continuous data processing, and real-time storage. The training blends conceptual frameworks with hands-on exercises, giving participants an actionable understanding of how to build and manage real-time data pipelines and dashboards.

Key takeaways

After completing this course, participants will be able to:

  • Understand real-time vs. batch processing patterns
  • Configure streaming data ingestion pipelines
  • Apply real-time analytics using Microsoft Fabric tools
  • Integrate event hubs, streaming tables, and real-time dashboards
  • Monitor and troubleshoot streaming workloads
  • Design real-time architectures that scale and perform
  • Correlate real-time insights with historical data

Prerequisites

Recommended, but not mandatory:

  • Basic understanding of data analytics and SQL
  • Familiarity with Microsoft Fabric or similar analytics platforms
  • Experience with data ingestion concepts is beneficial

Target audience

This course is ideal for:

  • Data Engineers building live analytics solutions
  • BI Developers needing real-time reporting skills
  • Analytics Architects designing streaming data solutions
  • IT professionals working with event-driven architectures
  • Anyone responsible for real-time data platforms

Real-time analytics fundamentals

Learn the difference between real-time and batch architectures, understand streaming patterns, and explore how real-time intelligence fits into modern analytics.

Streaming data ingestion

This section covers configuring streaming sources, such as Event Hubs or Kafka endpoints, and ingesting data into real-time tables within Microsoft Fabric.

Transforming streaming data

Participants learn how to process incoming data streams, apply transformations, filtering, aggregations, and windowing logic to prepare data for real-time analysis.

Real-time tables and materialization

Explore how real-time tables work in Fabric, how they store continuously updated data, and how they support interactive queries.

Real-time dashboards and visualization

Learn how to build dashboards that surface live insights, connect streaming data to Power BI or other visualization tools, and present operational intelligence.

Monitoring and troubleshooting streaming workflows

This section focuses on monitoring performance, identifying bottlenecks, handling late data, and troubleshooting streaming tasks.

Integrating historical and real-time data

Learn how to correlate real-time insights with historical data stored in analytical stores to provide contextually rich analyses.

Design patterns and best practices

Participants explore design patterns for scalable real-time systems, including fault tolerance, error handling, and scaling strategies.

Practical information

  • Duration: 3 days
  • Price: 32 500 NOK
  • Language: English course material and instruction
  • Format: Available as open enrollment and in-company training

Prepare for your Applied Skills credential 

This one-day, instructor-led training is recommended as preparation for the assessment Implement a Real-Time Intelligence Solution with Microsoft Fabric

Microsoft Applied Skills is a new scenario-based credential that proves your proficiency in skill sets specific to critical business problems, so you can make a bigger impact on your projects, your organization, and your career.

FAQ

Trenger jeg erfaring med Microsoft Fabric for å delta på kurset?
Nei. Det er en fordel å kjenne til grunnleggende datakonsepter, men kurset introduserer real-time-prinsipper og hvordan de brukes i Microsoft Fabric.

Er dette et praktisk kurs?
Ja. Kurset inneholder praktiske øvelser der du jobber med streaming-data, sanntidsanalyser og dashboards i Microsoft Fabric.

Hvor lang tid varer kurset?
Kurset gjennomføres normalt over tre dager som instruktørledet undervisning.

Er kurset knyttet til en sertifisering?
Nei. Kurset er ikke direkte knyttet til en sertifisering, men gir relevant kompetanse for roller innen moderne data- og analyseplattformer.

Hvilke verktøy jobber jeg med i løpet av kurset?
Du jobber med sanntidsinnhenting av data, streaming-tabeller, analyse og visualisering ved hjelp av funksjonalitet i Microsoft Fabric, inkludert integrasjon mot rapporteringsløsninger.

Passer kurset for både utviklere og analytikere?
Ja. Kurset passer både for data engineers, BI-utviklere og analytikere som ønsker å jobbe med sanntidsdata og operasjonell innsikt.