Synapse Real-Time Analytics in Microsoft Fabric is a fully managed big data analytics experience optimized for streaming and analyzing real-time data. In this blog post, we’ll learn about the integration between Azure Event Hubs and your KQL database.
I plan to develop a post series covering Fabric from an end-to-end perspective. As part of this series, I will incorporate some scripts that were initially developed for the Synapse experience on Fabric. The purpose of reusing these scripts is to demonstrate how easily you can implement the same logic you already have in your Synapse environment in various scenarios.
In this blog, we’ll focus on the different ways of querying data in Synapse Real-Time Analytics. But before we begin, make sure to follow the steps in the Synapse Real-Time Analytics: Discovering the best ways to get data into a KQL database to ingest data into your KQL database.
Synapse Real-Time Analytics in Microsoft Fabric can help you capture, transform, route, analyze and visualize huge amounts of real-time data from different sources in a matter of seconds. In this blog post, we’ll learn about the integration between Eventstream and your KQL database, both of which are a part of the Real-Time Analytics experience.
One of the key components of Fabric is Synapse Real-Time Analytics, a fully managed big data analytics platform optimized for streaming and time-series data. In this blog, we’ll focus on the different options for bringing data into a KQL database.
