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.
With Synapse Data Engineering, we aspire to streamline the process of working with your organizational data. Instead of wasting cycles on the ‘integration tax’ of wiring together a collection of products, worrying about spinning up and managing infrastructure and stitching together disparate data sources, we want data engineers to focus on the jobs to be done.
With data science in Microsoft Fabric, you can utilize the power of machine learning features to seamlessly enrich data as part of your data and analytics workflows.
