The Companion Program · Snowflake Companion

Snowflake is only as trusted as the data you feed it.

Most enterprises have never governed that data. Smart Stack 3.0 governs the Microsoft data estate before it reaches Snowflake, so the analytics and AI built on top can be trusted, modeled, and defended at scale.

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The Problem This Companion Solves

Snowflake is world-class at processing, analyzing, and serving data at scale. It cannot, by design, validate the trustworthiness of the data it ingests. The Microsoft file shares, SharePoint environments, and Exchange archives feeding Snowflake pipelines contain unclassified, ROT-contaminated, metadata-poor content.

A document ingested from a file share arrives without reliable metadata. Its creation date may reflect when it was copied. Its filename tells the analytics system nothing. Duplicates arrive as separate objects. Superseded versions arrive alongside current ones with no indication of which is authoritative. ROT enters the pipeline alongside high-signal content with no way to distinguish between them.

The governance gap is upstream, in the Microsoft estate. It has to be solved before data moves into Snowflake. Not inside Snowflake after ingestion.

Built for the executives who own the data estate

For the CDO

Snowflake is delivering on the promise of analytics at scale. The data feeding it is not. The CDO who governs the Microsoft estate before it enters Snowflake delivers analytic reliability the business can act on. The Trusted Data Refinery prepares Windows File Share and SharePoint data for Snowflake ingestion by classifying, enriching, and curating it in place before it moves. ROT is eliminated. Metadata is enriched. Trusted Data Collections are produced with provenance embedded in every record. Snowflake-ready from point of origin.

For the CIO

If 50 to 70 percent of what is being ingested into Snowflake is ROT, you are paying enterprise analytics compute prices to process content that nobody trusts and nobody needs. Trusted Data Mirroring projects governed Trusted Data Collections into Snowflake through OneLake using a pointer-based model. No forklift migration. One source of truth. Compute cost falls. Reliability rises.

For the CISO

Snowflake will process whatever it receives with the same sophistication. That includes sensitive content nobody intended to expose. The AI Governance Workflow ensures only policy-aligned, provenance-verified Trusted Data Collections reach Snowflake analytics. Sensitive Data Classification governs what crosses the boundary. Chain of custody travels with every data set. The Microsoft tenant remains the security boundary. Snowflake becomes a governed activation surface.

What the Trusted Data Toolkit Does for Snowflake Companion

Trusted Data Archive

Provenance-Verified Communications

Communications data fed to Snowflake carries full provenance, complete envelope metadata, and evidentiary integrity. Every message preserved in its original form, timestamped, envelope-complete, chain-of-custody tracked from send to Snowflake ingestion.

Trusted Data Refinery

Curated File Estate Intelligence

Windows File Share and SharePoint data is classified, enriched, and curated in place before it moves. ROT eliminated. Metadata enriched. Trusted Data Collections produced with provenance embedded in every record.

Trusted Data Portal

Governed Routing into Snowflake

Routes Trusted Data Collections into Snowflake via OneLake and Microsoft Fabric. The AI Governance Workflow ensures only policy-aligned data reaches Snowflake analytics and AI applications.

Additional Toolkit Components

Trusted Data Mirroring delivers pointer-based projection of Trusted Data Collections into Snowflake via OneLake without forklift migration.

The ROI Calculator quantifies compute cost reduction from ROT elimination upstream of ingestion, storage savings, and analytic reliability improvement.

The Data Migration Suite consolidates legacy on-premises data sources into the governed Smart Stack 3.0 environment before Snowflake ingestion.

What Changes for the Customer

Snowflake moves from being limited by upstream data conditions to being the system where Microsoft data can finally be analyzed, modeled, and trusted at scale.

Compute spend reflects high-signal content only. Analytic outputs trace back to provenance-verified source records.

Govern the Microsoft estate. Then unleash Snowflake.