Smart Stack 4.0
Data Mirroring
Put Prepared Information Where Your Teams Can Use It
Put Prepared Information Where Your Teams Can Use It
Prepare selected Collection intelligence for analytics and AI with source traceability. Define the approved information, destinations, refresh behavior, and permissions for each use.
Select the Information That Serves the Purpose
Begin with reviewed findings and approved Collections. Establish what to include, what to exclude, who may use it, and how the destination will preserve source traceability.
Prepare Intelligence for Fabric and OneLake
Mirror selected Collection intelligence for supported downstream analytics and AI. Agree the representation, source references, available outputs, and destination integration for the deployment.
Keep Preparation and Transformation Distinct
Structured Data Composer applies reviewed recipes to approved mirrored data. Validation checks structure, lineage, and exceptions. Data Feeder delivers selected outputs with their source and transformation history.
Define Movement, Refresh, and Cost
Agree which metadata, extracted content, and files move or remain at source. Confirm refresh behavior, access enforcement, destination capacity, and cloud consumption. Mirroring is trusted preparation; it does not promise zero data movement or zero operating cost.
Start With Your Data and a Defined Business Need
The complimentary Terabyte Tester scans and analyzes up to 1 TB of file-share data to identify potential savings, information risks, and AI-readiness priorities. Agree the scope and access with the team, then use the findings to decide where to act.