Microsoft Fabric is built on a foundation of Software as a Service (SaaS). It combines both new and existing components from Power BI, Azure Synapse Analytics, Azure Data Factory, and more services into a unified environment. These components are then tailored into customized user experiences.
Think about an organization has multiple teams from front office to back office, they are all producing and owning the data in their own functionalities and department. They have their own siloed data, data formats and using different data tools with services.
It’s hard to align and streamline the data governance, management & visualization. Even worse, it is impossible to manage the cost of the data as the data is copying everyday among different groups with different security controls. To better align the data strategy from a company perspective, Microsoft Fabric platform unifies the OneLake and lakehouse architecture across an enterprise.
The users can easily use their own languages, such as T-SQL, KQL, Python, R or Scala to talk to different data services. The underline data format is fully unified in Delta-Parquet format.
By using different data services, like Data Factory, Synapse Data Warehouse, Real-time Analytics, Synapse Data Science and Power BI. There are almost no difference with using each service directly. But the unified interface, collaboration efficiency and built-in connectors with internal/external data sources improve the overall data utilization significantly.
Microsoft Fabric integrates separate components into a cohesive stack. Instead of relying on different databases or data warehouses, you can centralize data storage with OneLake. AI capabilities are seamlessly embedded within Fabric, eliminating the need for manual integration. With Fabric, you can easily transition your raw data into actionable insights for business users.