Snowflake for enterprise data platforms
Snowflake is a strong foundation for enterprise reporting, governed data, and secure sharing. We design it so reports use agreed definitions, workloads do not compete for compute, access is controlled, and costs have an owner.
What it is good at
Governed analytics with agreed definitions, ownership, and lineage across teams
Independent compute for BI, transformation, data science, and ad-hoc work
Historical data with retention and recovery controls that match the workload
Secure data sharing with teams, customers, and partner, without manually maintained extracts
Data governance through roles, masking, row-access policies, and tagging
Workload-level cost visibility, ownership, and resource controls
Cortex AI models, agents, and CoCo for governed AI and data engineering workflows
What we deliver with Snowflake
Migration to Snowflake with reconciliation
We move selected analytics workloads from Oracle, Teradata, SQL Server and Synapse, Redshift, and BigQuery to Snowflake where the business case and technical fit are clear. Before cutover, we validate critical reports, historical periods, and data volumes against agreed reconciliation criteria.
Governed data models
We design data models with clear definitions of metrics, ownership, lineage, and testing. We choose the appropriate transformation pattern for each workload, using dbt, Dynamic Tables, Streams and Tasks, or simpler approaches where they make more sense.
Workload architecture
We separate ingestion, transformation, BI, data science, and ad-hoc workloads so they can be managed according to their specific requirements. We define warehouse sizing, suspension policies, concurrency settings, ownership, and each warehouse’s purpose.
Cost attribution and optimization
Snowflake gives teams control over compute, but costs still need clear ownership and active management.We identify the warehouses, queries, refreshes, storage, and serverless features driving the bill. We then use workload isolation, query analysis, tagging, budgets, and resource controls to make costs visible and actionable.
Secure data sharing
We design governed data sharing between business units, customers, and partners. Access is controlled, auditable, and revocable — without relying on manually maintained extracts and duplicate pipelines.
Modernizing enterprise reporting
We move analytical workloads away from operational systems when there is a clear case for doing so. The result is a governed historical and reporting layer that reduces analytical pressure on systems such as SAP and Oracle.
Cadvel is a Snowflake Partner
Partnership status
