Disclaimer: This course is independently developed and not affiliated with Microsoft. It covers concepts and skills that closely align with the objectives of Microsoft’s DP-603T00: Implement Real-Time Intelligence with Microsoft Fabric training, making it a strong preparatory or complementary learning experience.
This One-Day intermediate-level training equips data engineers and analysts with the practical hands-on skills to build a real-time intelligence solution using Microsoft Fabric. Participants will gain hands-on experience across the full lifecycle, from environment setup to streaming ingestion, real-time dashboards, and data activation.
Before enrolling in this training, Participants should ideally be familiar with data transformation, exploratory analytics, and streaming concepts, understand real-time dashboards, and have a basic understanding of KQL (Kusto Query Language) to fully engage with the labs and assessments.
Get Started with Real-Time Intelligence in Microsoft Fabric: This module introduces the foundational architecture of Real-Time Analytics in Microsoft Fabric, guiding learners through environment setup and familiarizing them with core components like Eventstream for data ingestion and Eventhouse for storage and querying.
Use Eventstream in Microsoft Fabric: Participants learn how to ingest streaming data from external sources using Eventstream, with a focus on configuring schema mappings, applying transformations, and routing data to appropriate destinations for downstream processing.
Work with Real-Time Data in an Eventhouse: This module explores how Eventhouse stores and manages real-time data, teaching the essentials of Kusto Query Language (KQL) for performing exploratory analytics and optimizing query performance.
Create Real-Time Dashboards with Microsoft Fabric: Learners build interactive dashboards using Power BI visuals, emphasizing techniques for real-time data refresh, dynamic filtering, and user-driven interactivity to surface actionable insights.
Use Activator in Microsoft Fabric: The final module covers how to trigger automated actions based on data conditions using Activator, including practical scenarios like sending alerts, initiating workflows, and integrating with external systems.