Real-Time Intelligence with Microsoft Fabric

Preface

Today’s world is rich with incredibly granular data, which is generated from many different sources: IoT devices, social platforms, transaction systems, and real-time sensors. Every second, businesses, governments, and individuals generate huge amounts of hypergranular data, from customer service touches to machine performance metrics at subsecond resolutions.

The sudden rise in the granularity of data has spawned tremendous opportunities for organizations to gain profound insights—and also monumental storage, processing, and analytical challenges. Organizations are faced with a dual task: keeping up with this deluge of data while simultaneously pulling actionable intelligence quickly enough to stay competitive.

In this digital age, the pace of business requires prompt decision making with the assistance of timely insights. As Kelly Herrell wrote in Forbes in February 2024, “There is a rapidly growing set of use cases that need ‘real-time’ speeds, generating decisions and actions at least 20 times faster than the blink of an eye.” Enterprises need to base their decisions on real-time data to detect trends, react to changes, and project. In customer behavior monitoring, supply chain optimization, and security enhancement, the ability to analyze data in transit is rapidly giving companies a competitive edge.

For years, we have been fascinated by the power of the Kusto Query Language (KQL) and Azure Data Explorer engine—the “hidden gem” of the Azure stack. Until now, harnessing ...