IT giant unveiled its latest creation – data analytics platform Microsoft Fabric
The new solution will encompass data integration, data science, real-time analytics and BI in a single software package
Microsoft just introduced its latest brainchild – Microsoft Fabric, a fresh comprehensive platform for data and analytics. This novel platform revolves around Microsoft’s OneLake data lake but can also incorporate data from Amazon S3 and, in the near future, Google Cloud Platform.
It encompasses an array of components, including integration tools, a data engineering platform based on Spark, a real-time analytics platform, and an enhanced Power BI that offers user-friendly visualisation and AI-driven analytics capabilities.
Additionally, there is a new no-code developer experience that enables users to monitor their data in real-time, triggering actions and notifications accordingly. All these tools are seamlessly interconnected, and Microsoft plans to integrate its AI Copilot into Fabric.
According to Arun Ulag, Microsoft’s corporate VP for Azure Data, during the past years, there has been a massive surge in innovation, which is undoubtedly beneficial due to the emergence of numerous new technologies. However, this rapid progress has also resulted in a fragmented modern data stack.
Customers are now confronted with an overwhelming abundance of products, open source technologies, and solutions, making it challenging to navigate and comprehend the available options. Many data and analytics products tend to store their data in isolated compartments, creating further complications. In conversations with customers, a recurring sentiment encountered is their weariness of bearing the burden of integration challenges and associated costs.
Microsoft examined the fundamental tasks involved in data analytics, such as data integration, engineering, warehousing, data science, real-time analytics, and business intelligence. They sought to create a cohesive and consolidated experience for these workloads. As part of this effort, the team made a deliberate choice to concentrate on developing a unified computing infrastructure and a singular data lake.
