Why Microsoft is combining all its data analytics products into Fabric

The integration of its existing products such as Synapse and Power BI will help enterprises combine workloads while reducing IT integration overhead, complexity and costs.

Microsoft is combining its existing data warehousing, business intelligence, and data analytics products into a single offering, dubbed Microsoft Fabric, the company announced recently.

Analysts said this could help enterprises combine workloads while reducing IT integration overhead, complexity and costs.

According to Sanjeev Mohan, principal analyst at SanjMo the launch of a unified data analytics platform in the form of Microsoft Fabric can be seen as “riposte” to the massive sprawl of products in an enterprise’s modern data stack.

“Microsoft realizes that their clients were looking to reduce the integration overhead and complexity. It’s not that the customers won’t spend, but they are looking for better value for their IT investment,” Mohan said, adding that if Fabric can deliver the right outcomes then it could be the “right” strategy for the public cloud service providerIn addition to reducing IT complexity, Fabric can also help reduce costs, Mohan said.

“An integrated solution should cost less than a collection of best-of-breed specialized solutions. The pre-integrated Fabric also reduces integration costs and skills needed to learn different tools,” the principal analyst explained.

Microsoft, too, claims that purchasing and managing resources with Fabric is simpler.

“Customers can purchase a single pool of compute that powers all Fabric workloads. The universal compute capacities significantly reduce costs, as any unused compute capacity in one workload can be utilized by any of the workloads,” the company said in a statement.

Raw data, whether it is transactional, operational, or otherwise, according to Forrester’s principal analyst Boris Evelson, needs to go through steps such as sourcing, extracting, moving, integrating, cleaning, modeling, and cataloging before being turned into valuable information.

“Typically, some of the technologies supporting each of the steps come from different vendors and data or analytics professionals need to spend time on integration,” Evelson said, adding that while Fabric does not completely eliminate the need for integrating components, it reduces the integration time and effort, allowing data and analytics users to concentrate more on solving business problems and addressing business opportunities.

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