Which data store is designed for structured data and analytics workloads in Fabric?

Which data store is designed for structured data and analytics workloads in Fabric?

• A. Lakehouse
• B. Warehouse
• C. Eventhouse
• D. OneLake

Answer: (B)

In Fabric, data stores are tuned for different kinds of workloads. The store designed specifically for structured data and analytics workloads is the warehouse. It is built for fast, schema-based SQL queries over well-modeled tables, with governance and enterprise features that support BI and reporting on structured data. Lakehouse, by contrast, blends structured and semi-structured data and is more flexible for mixed workloads and data science; OneLake provides the underlying storage layer, not a dedicated analytics-optimized store; and Eventhouse isn’t the established option for structured analytics in Fabric. So for structured data and analytics workloads, the warehouse is the best fit.

In Fabric, data stores are tuned for different kinds of workloads. The store designed specifically for structured data and analytics workloads is the warehouse. It is built for fast, schema-based SQL queries over well-modeled tables, with governance and enterprise features that support BI and reporting on structured data. Lakehouse, by contrast, blends structured and semi-structured data and is more flexible for mixed workloads and data science; OneLake provides the underlying storage layer, not a dedicated analytics-optimized store; and Eventhouse isn’t the established option for structured analytics in Fabric. So for structured data and analytics workloads, the warehouse is the best fit.