Real-Time Data Analytics with Fabric: Stream, Transform, and Query

Organizations today rely on instant data to make critical decisions, but processing high-velocity streams can feel overwhelming. This text-based course guides you through the foundational concepts of managing real-time data flows without complex infrastructure setups. You will transition from understanding basic data streaming concepts to building end-to-end real-time analytics solutions. Through clear written explanations, structured walkthroughs, and practical query examples, you will learn how to capture, transform, and store live data streams seamlessly. What you'll learn: - Understand the core architecture of Real-Time Intelligence and OneLake integration. - Configure Eventstreams to ingest live data from various streaming sources. - Transform and filter streaming data on the fly before it reaches its destination. - Query high-volume real-time data using Kusto Query Language (KQL) databases. - Create automated triggers and alerts to react instantly to changes in your data. The course starts with essential terminology and the fundamentals of event-driven architectures. You will then progress through step-by-step guides on configuring data streams, querying live datasets, and setting up real-time actions. This course is designed for beginner data analysts, database administrators, and developers looking to enter the world of real-time analytics, with no prior experience with streaming platforms required. Start reading today to unlock the power of instant, data-driven decision-making.