Unified business model with universal compute capacity
As discussed earlier, when you build a data analytics system today, you typically combine multiple products—often from multiple vendors—to build different components in a single analytics system. This means computing capacity is provisioned and charged for the multiple components (for the multiple products used) in the system, such as data integration, data engineering, data warehousing, and business intelligence. This not only burdens you with managing the overall cost but also, when one of the components is idle, its capacity cannot be used by another component. Thus, this can cause significant wastage and overall increased Total Cost of Ownership (TCO).
Microsoft Fabric simplifies this whole experience of purchasing and managing computing resources with its universal compute capacity, which uses capacity units (CUs), as shown in Figure 1.9. Universal capacities provide the computing resources for all the engines...
