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

Harness the power of real-time intelligence by learning to implement dynamic, responsive analytics solutions using Microsoft Fabric. This expert-led course guides data professionals through building scalable streaming data pipelines and delivering live insights that enable faster, data-driven decision-making.

Explore how to ingest, process, and analyze streaming data from diverse sources with Microsoft Fabric’s integrated analytics services. Learn to design real-time dashboards, apply event-driven architectures, and optimize performance for continuous data flow and immediate business impact.

This course includes 40% to 50% hands-on learning, allowing participants to practice implementing real-time data solutions in Microsoft Fabric.

Target Audience:

This course is designed for:

• Data engineers, analytics specialists, and BI developers focusing on real-time data processing and analytics

• Professionals building streaming data pipelines and event-driven architectures

• IT and data professionals preparing for advanced certifications involving Microsoft Fabric real-time analytics

• Anyone interested in developing responsive, live intelligence applications with Microsoft Fabric

Prerequisites:
Knowledge of data streaming concepts, SQL, and cloud data platforms is recommended. Familiarity with Microsoft Azure or Power BI is advantageous.

Course Outline:

Module 1: Introduction to Real-Time Intelligence and Microsoft Fabric

• Understand the fundamentals of real-time analytics and its business value

• Explore Microsoft Fabric’s streaming analytics capabilities and architecture

• Differentiate between batch, near real-time, and real-time processing models

Module 2: Ingesting and Processing Streaming Data

• Design scalable data ingestion pipelines for streaming sources

• Use Microsoft Fabric’s event streaming and processing tools for continuous data flow

• Implement data transformation and enrichment in real time

Module 3: Building Real-Time Analytics and Dashboards

• Create real-time datasets and streaming tables in Microsoft Fabric

• Design live, interactive dashboards using Power BI connected to real-time data sources

• Apply query optimization techniques to ensure low-latency analytics

Module 4: Event-Driven Architectures and Automation

• Implement event-driven workflows using Microsoft Fabric’s orchestration and automation tools

• Integrate with Azure Event Hubs, IoT Hub, and other streaming services

• Automate alerts and responses based on streaming data triggers

Module 5: Securing and Monitoring Real-Time Data Pipelines

• Apply security best practices to protect streaming data and analytics workloads

• Monitor pipeline health, latency, and throughput with Microsoft Fabric monitoring tools

• Troubleshoot and optimize streaming workflows for performance and reliability

Module 6: Scaling Real-Time Intelligence Solutions

• Design for scalability and fault tolerance in streaming data systems

• Use auto-scaling and resource management features within Microsoft Fabric

• Plan for high availability and disaster recovery in real-time architectures

Delivery Format:

• Instructor-led training with expert demonstrations

• 40% to 50% hands-on exercises in a Microsoft Fabric environment

• Practical, real-world scenarios focused on building real-time intelligence solutions