Enterprise-scale warehousing and big-data analytics in one service — provision only the compute you need, query the lake in place, and land the results in Power BI.
For estates that need warehouse-grade control over compute, storage and orchestration.
A massively parallel warehouse for large, predictable workloads — scale the compute up for month-end and back down afterwards.
Query files sitting in the data lake with T-SQL and pay per query, with no cluster to provision.
Managed Spark for preparation, machine learning and processing of semi-structured data.
Orchestrate ingestion and transformation across on-premises and cloud sources with the Azure Data Factory engine and its connector library.
Near real-time analytics over Dataverse and Cosmos DB without building or maintaining ETL.
ADLS Gen2 as the common landing zone, with hierarchical namespaces and fine-grained access.
One workspace for SQL, Spark, pipelines and monitoring.
Connect the warehouse straight into Power BI datasets and reports.