The Refinery
From Discovery to Action in Microsoft Fabric
Data Mirroring publishes curated Trusted Data Collections directly into the customer's Microsoft Fabric Lakehouse as analytics-ready Delta tables, with OneLake shortcuts back to the original files.
Data Mirroring — The Foundation of Agentic Resource Discovery
Smart Stack 3.0 already discovers, classifies, governs, and enriches enterprise data. Data Mirroring is what extends that intelligence beyond Smart Stack and into the customer's Microsoft ecosystem. Instead of generating reports that require manual follow-up, Smart Stack publishes trusted enterprise knowledge into Microsoft Fabric, where it becomes immediately available to Power BI, Copilot, Data Agents, SQL, Spark, and future AI applications. Pick a collection. Click Mirror. Open Fabric. That single action turns discovery into action, with no export scripts, no ETL project, and no consultants.
What Data Mirroring Is
Data Mirroring is a first-class product action, right next to Copy, Move, and Delete. One click publishes a curated Trusted Data Collection into the customer's Microsoft Fabric Lakehouse as open Delta tables — document inventory, extracted content, ownership, and curated Gold views built for business questions. OneLake shortcuts expose the original SharePoint files inside Fabric without copying a single byte out of SharePoint. Files stay exactly where they are. Insights land where the business already works.
How It Works: Pick, Mirror, Open Fabric
Pick any collection the Refinery has already analyzed — a department, a legacy share, a migration candidate, an audit scope. Click Mirror and choose the Fabric workspace and Lakehouse. Progress streams into the same Actions view used for Copy, Move, and Delete, with a full audit trail. Open Fabric and the collection is already live: clean analytics-ready Delta tables, OneLake shortcuts to the raw SharePoint files, and curated Gold views designed for natural-language questions.
The Foundation for Agentic Resource Discovery
Before an AI agent can perform meaningful work, it needs to understand what enterprise resources exist, where they are located, who owns them, how trustworthy they are, and how they relate to one another. Data Mirroring creates that enterprise memory. Rather than forcing every agent to search disconnected systems like SharePoint, Teams, Exchange, and file shares independently, each agent begins from a single, governed source of truth. Smart Stack stops being a platform that tells organizations what they have and becomes the intelligence layer that powers what their AI can do.
Refreshable, Open, Governed
A mirror is a refreshable sync, not a one-shot export. Re-run it after new scans or new analysis and the Lakehouse updates in place, never producing duplicate rows. Everything lands as standard Delta and Parquet in OneLake, queryable by Power BI Direct Lake, the SQL analytics endpoint, Spark, and any engine that speaks Delta. Governance travels with the data: per-owner action lists, prioritized ROT review queues, and sensitive-document registers, each row linked back to the original file. Fabric is the first shipped target. Snowflake and Databricks are on the roadmap.
Key Benefits
- One-Click Publish to Fabric: A governed product action with progress tracking and audit trail. No pipelines, no CSV exports.
- AI-Ready, Not Just Data-Ready: Curated Gold tables designed for natural-language Q&A through Fabric Data Agents and Copilot.
- Raw Files Without Moving Data: OneLake shortcuts expose SharePoint files in place. Same permissions, no second copy, no storage bill.
- Always Current, Open Formats: Refreshable Delta and Parquet tables that Power BI, SQL, Spark, and any Delta engine can consume.
Conclusion
Data Mirroring turns Smart Stack 3.0 into the trusted enterprise memory layer for the agent economy. Every future AI initiative, whether governance, legal, HR, sales, operations, or executive decision-making, becomes smarter because it begins with a single, governed source of truth in the customer's own Lakehouse.
