We are excited to announce automatic log checkpointing for Data Warehouses! One of our goals with the Data Warehouse is automate as much as possible to make it easier and cheaper for you to build and use them. This means you will be spending your time on adding and gaining insights from your data instead … Continue reading “Announcing: Automatic Log Checkpointing for Fabric Warehouse”
We’re happy to announce a new function in Power Query’s M language for reading data from Delta Lake tables: the DeltaLake.Table function. This function is now available in Power Query in Power BI Desktop and in Dataflows Gen1 and Gen2 and replaces the need to use community-developed solutions like this one by Gerhard Brueckl. Let’s … Continue reading “Read data from Delta Lake tables with the DeltaLake.Table M function”
As we delve into this comprehensive series on Fabric, one of its pivotal facets we explore is Real-Time Analytics. Within this subject, Real-Time Analytics serves as a formidable tool, diminishing complexity and streamlining data integration processes. Imagine scenarios where a continuous stream of data unfolds, capturing the intricacies of messages posted on a micro-blogging site … Continue reading “Fabric Change the Game: Real – time Analytics”
