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