Site icon

Introducing Microsoft Fabric

This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Community Hub.

This article is brought to you by the Nonprofit Tech Acceleration (NTA) for Black and African American Communities Program Technical Team. For information on how to take advantage of the granted offerings or free technical consultation, please visit: Supporting Black Community Nonprofits | Microsoft Nonprofits.


Microsoft Fabric is a cloud service, the platform is based on Software as a Service (SaaS), which elevates simplicity and integration to a new level. And what it does is bring together a lot of different services that have been out there for a while into one spot. 

So, think of this, OneLake, when we think about Lakehouses. One security, when we think about managing items and data, role level security. One way to discover data, one way to manage your data governance. And so, before we had just Power BI, and the Power BI service itself was very fully featured from a platform perspective. We had workspaces, we had capacities, we had all of these items. And now what Microsoft is doing is leveraging that platform and expanding it for other workloads. You may have been familiar with or, and or have heard things like Azure Data Factory, Azure Synapse Analytics. These items have been retooled and taken to the next level inside of Microsoft Fabric.  


Microsoft Fabric is a comprehensive analytics platform for businesses that includes features for data science, business intelligence, real-time analytics, and data migration. Data lake, data engineering, and data integration are all part of the entire set of services that are offered by this solution. 

It is unnecessary to put together multiple services from various vendors while utilizing Fabric. Instead, you can gain from a user-friendly, fully integrated platform that streamlines all of your analytics needs. 

Non-profits organizations can ingest, store, process, and analyze data in one environment thanks to Fabric's integrated services. 



Fabric allows creators to concentrate on producing their best work, freeing them from the need to integrate, manage, or understand the underlying infrastructure that supports the experience. 

Using Microsoft Fabric offers several benefits that make it a compelling choice for enterprises looking to streamline their analytics processes and optimize data-driven decision-making. Some of the key benefits include: 


Let’s Explore Microsoft Fabrics Components 

Microsoft Fabric offers a wide variety of analytics experiences that elegantly work together, each one specifically designed for certain personas and tasks. You may find industry-leading experiences in Fabric that handle all of your end-to-end analytical needs in a variety of categories. 




          The Data Warehouse experience leads the market with unmatched SQL performance and  scale. This is accomplished by completely separating compute from storage, enabling independent scaling of each element. Additionally, it natively supports the open Delta Lake format for data storage. For more information, see What is data warehousing in Microsoft Fabric? 

          Observational data is gathered through a variety of sources, including apps, IoT gadgets,   human interactions, and more. It is now the data type that is expanding most quickly. When this data is provided in formats like JSON or Text, it is usually semi-structured. It has numerous forms and fluctuating schemas. Due to these traits, using conventional data warehousing methods is challenging. The best engine for observational data analytics is Real-Time Analytics. For more information, see What is Real-Time Analytics in Fabric? 

Fabric offers the most complete big data analytics platform on the market by fusing all these experiences into a single platform. 


Microsoft Fabric is an attractive analytics solution for businesses thanks to its numerous benefits. By providing a broad range of services, seamless integration, real-time analytics, and ease of use, Fabric enables businesses to fully realize the potential of their data, get insightful knowledge that will help them make wise decisions, and efficiently accomplish their objectives.


Thank you for reading!




Exit mobile version