Microsoft Fabric

Microsoft Fabric extends the promise of Azure Synapse integration to all analytics workloads from the data engineer to the business knowledge worker. It brings together Power BI, Data Factory, and the Data Lake, on a new generation of the Synapse data infrastructure. Delivered as a unified SaaS offering, it aims to reduce cost and time to value, while enabling new "citizen data science" capabilities. Check out all the resources from the endjin team collated in this post.

OneLake is the core of Microsoft Fabric - it is essentially the storage account for all of your data utilized within Fabric, be that within Azure or from another cloud (through Shortcuts). As the name suggests, it is a single, logical data lake backing more or less all of your Fabric workloads. For fans of analogies: you'll have probably heard Microsoft use the tag-line "OneLake is to data what OneDrive is to files/documents". Read this blog to dive deeper into OneLake and learn about why you should be excited.

In this post we compare Azure Synapse Analytics with Microsoft Fabric to understand how features map from Synapse to Fabric.

Microsoft Fabric is a unified data & analytics platform that brings together, and improves upon, Microsoft's existing suite of data products. It can be thought of as the third generation of Microsoft data platforms, where first generation (e.g. HDInsight, SQL Data Warehouse) were somewhat isolated takes on traditional data products; second generation was Azure Synapse Analytics, which integrated platforms at a UX level but still felt a little disjointed at the data level; and now we have Microsoft Fabric which builds upon the Synapse "unification" vision, with a particular focus on enabling deep data-level interoperability. In this post we introduce its core offerings, as well as weigh up the pros and cons of this new product.