This blog is part of a series of posts covering many aspects of Fabric. The first was a translation of some posts written for Synapse as a PaaS in which I exported data from an SQLDB into the Data Lake using parquet file format, and now I translated them to be reused in Fabric as … Continue reading “Fabric Changing the game – OneLake integration”
In the rapidly changing landscape of artificial intelligence and data-driven advancements, data warehouses play a pivotal role. They serve as a backbone for efficient data management and serve as catalysts for enabling transformative capabilities. The challenges associated with data management multiples with growth in volume and complexity of data. Safeguarding data integrity, while also providing … Continue reading “Table Clone in warehouse within Microsoft Fabric”
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.
