Getting Started with Real-Time Intelligence in Fabric

In today's fast-paced digital landscape, waiting hours or days for data processing is no longer enough. Organizations need to analyze and act on data the moment it is generated to make critical, timely decisions. This text-based course guides you through the core concepts of Real-Time Intelligence within the Fabric ecosystem. You will transition from understanding basic streaming principles to configuring end-to-end real-time data pipelines, enabling you to capture, query, and respond to live events as they happen. What you'll learn: - Understand foundational real-time data concepts and streaming architectures - Configure Eventstreams to ingest live data from various continuous sources - Store and manage high-velocity data using Eventhouses and Kusto databases - Write KQL (Kusto Query Language) queries to analyze data in motion - Create real-time alerts and trigger automated actions based on live data thresholds - Integrate real-time streams with broader data lakehouse architectures. You will start with key terminology and foundational streaming concepts before moving into step-by-step written explanations on configuring ingestion, querying live data, and setting up automated actions. This course is designed for beginners, data analysts, and aspiring data engineers who want to learn real-time analytics without any prior experience in streaming technologies. Start reading today to unlock the power of instant data insights.