Use case — Snowflake
Snowflake gives you the power. Not the structure.
Migrating to Snowflake solves infrastructure problems, not modelling problems. Without discipline, the platform quickly fills up with intermediate tables, stacked views and processes whose bill rises while confidence in the figures does not improve. beVault brings the structure: a Data Vault 2.0 architecture adapted to your environment, generated code optimised for Snowflake and orchestration that does not waste your credits.
- Loading code generated and optimized for Snowflake
- Scheduling calculated to limit warehouse time
- Native historization, without improvised staging tables
- Governed marts exposed directly to Power BI or Tableau
Challenges
The four pitfalls of a Snowflake without a model
We find them in almost all the platforms we take over.
Layer proliferation
Each team adds its work schema. Two years later, no one knows which view is authoritative or which tables can be deleted.
Uncontrolled compute costs
Full reloads due to lack of historization, redundant joins and oversized warehouses drive up credit consumption.
Lost history
Time Travel isn't a historization strategy: its window is short and its retention cost is high. Business history needs to be modeled.
Partial governance
Snowflake's security functions are excellent, but they say nothing about the meaning of data or its quality.
What beVault provides
A controlled Snowflake trajectory
- 01
A structured and historized Raw Vault
Sources are loaded incrementally, with change detection. No more full reloads that consume credits for nothing.
- 02
SQL generated for Snowflake
The generated code leverages the platform's specifics — clustering, micro-partitions, set-based operations — instead of generic SQL loosely translated.
- 03
Cost-effective orchestration
Parallelism is calculated from the dependency graph: warehouses run only for the necessary time, no longer.
- 04
Readable marts and governance
A documented restitution layer replaces the view jungle, with full lineage and quality indicators.
Frequently asked questions
Snowflake and beVault
Should we start from scratch on Snowflake?
No. We structure domain by domain, in parallel with the existing system, reconciling figures before cutover.
Does beVault replace dbt?
On the Data Vault layer and the marts, yes: code generation and orchestration are native. If dbt is used elsewhere in your organization, the two coexist without difficulty.
Do I own the generated code?
Yes. It's standard Snowflake SQL, readable, commented and exportable at any time.
What about other platforms?
Amazon Redshift, Microsoft SQL Server and PostgreSQL are supported today. Databricks and Microsoft Fabric are coming with the next release.
Next step