The Future of Data Management: Microsoft Fabric

You've likely heard of it, but why should you care about Microsoft Fabric?

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In a recent podcast episode, Azure's New Threads: An Overview of Microsoft Fabric, we discuss its various components and how it fits into Microsoft's broader data strategy. If you're dealing with data in any capacity, this episode will give you a high-level overview of the all-in-one data platform. Although Fabric is still in public preview, it's already in a very usable state.?

Key Takeaways:

1. Data Science and AI: Remember when machine learning was only for data scientists with Ph.Ds.? Fabric democratizes advanced analytics so that in-house teams can run predictive analytics or even more advanced AI algorithms without requiring highly specialized knowledge.
2. Data Engineering and OneLake: Fabric offers a novel approach to data warehousing, known as OneLake. It's a unified repository where all your data resides, simplifying data governance and access.
3. Power BI Integration: Fabric fully incorporates Power BI, allowing for real-time data modeling and analytics without moving the data out of your storage systems.

If you'd like more information on how Fabric can be leveraged for company data, follow along. Over the past 12 years, we've implemented advanced data solutions for our midmarket clients, and we're excited about the new possibilities Fabric brings.?

Best,?

Blue Margin

www.bluemargin.com