![]() They will all store data in the OneLake and read it from there. This will be the storage for all the computing services mentioned above. ![]() OneLake is a Data Lake technology that emphasizes being the ONE data lake. When you have all the above under one umbrella, then you would have one place to create and edit them, you would have one structure to tie them together (workspaces), one setup for security and configurations like that, and a far simpler licensing plan that can be used for all of the above. However, it is easier to understand if you look at it by functionality or workload. Fabric is an umbrella on top of Microsoft’s three main Data Analytics products: Power BI, Azure Data Factory, and Azure Synapse. Power BI was a huge success in a way that in the past few years, Power BI always has been on the top of Gartner’s Magic Quadrant for BI services in the world.įabric is the Data Platform service offering of Microsoft for this new age. Microsoft did it once in 2015 by bringing Power View, Power Query, and Power Pivot under an umbrella called Power BI. You don’t have to spend hours and hours to figure out how the licensing of your Azure Synapse combined with Azure Data Factory and Power BI would work together. As the Data Analytics Lead of your organization, you don’t have to worry much about the technology you can instead focus on the results. Microsoft team invested in this new offering in the past two years and devised a way to simplify things. The best way to understand Fabric is to understand its primary purpose Simplicity. We live in an age where ChatGPT and other AI tools scream for simplicity. You have to spend a huge amount of time learning about these products, but that isn’t the whole story each product and service comes with its own licensing plan, and that would make things super complicated. ![]() The above is complicated for a Data Analytics department to lead a successful project. If you want to consider others, such as AWS and SAP, the list of products, services, and tools will easily exceed 100 items. And that is just from one vendor Microsoft. If we add those, it would easily be something over 30 products. The list above does not contain AI and Machine Learning and does not contain Databases. ![]()
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