OneLake — one copy of your data
A single tenant-wide lake every workload reads from. Store the data once and let warehousing, science and reporting work on it in place, instead of each keeping its own copy.
One SaaS analytics platform that puts data engineering, warehousing, data science and real-time intelligence on a single copy of your data — no more moving the same rows between six services.
A single tenant-wide lake with a workload for each job, billed from one shared pool of capacity.
A single tenant-wide lake every workload reads from. Store the data once and let warehousing, science and reporting work on it in place, instead of each keeping its own copy.
Pipelines and dataflows that ingest from on-premises and cloud sources, with the transformation steps version-controlled.
Spark notebooks and lakehouses for large-scale preparation and modelling.
A full T-SQL warehouse that stores in open Delta Parquet — compute and storage scale separately, and the files stay readable by every other Fabric engine.
Train, track and operationalise models against the same lake, without exporting training sets.
Event streams and KQL queries for telemetry and operational data arriving continuously.
Power BI reads lake tables directly — import-level speed without an import or a refresh window.
AI assistance for building pipelines, writing queries and drafting reports.