Warehouse modelling
Layered models built with dbt, tested and documented, powering consistent business metrics.
Data and DevOps
Snowflake development.
Snowflake is a cloud data warehouse that separates storage from compute, so teams can query shared data without fighting over resources. We use it for analytics, reporting and data sharing, with SQL as the main language.
A short call. Your first build, a fixed quote, and the timeline. No obligation.
What we build with Snowflake
Where it fits.
Ingestion pipelines
Snowpipe and connector based loading from SaaS tools, databases and files, with load monitoring.
Secure data sharing
Shared data sets for partners and customers without copying files around.
Cortex and Snowpark work
In-database Python with Snowpark, and AI functions that run next to the data.
When it is the right choice
Choose Snowflake when
- →Your team works mainly in SQL and BI tools.
- →Many groups query the same data and need isolated compute.
- →You need to share data with outside organisations.
Worth knowing
Honest trade-offs.
- →Credits are consumed by running warehouses, so we set auto-suspend and resource monitors from the start.
- →Heavy custom machine learning is usually better elsewhere, with Snowflake as the data source.
Often paired with
dbtFivetranAirflowTableauPower BIPython
Proof
Work built by the same team.
Closeum
13+ connected modules from calls through commissions
13+connected modules
5role types
32completed transactions
40+leads managed
SIIMS
Orders, production, warehouse, and dispatch on the same records
4operational roles
37backend tests passed
17hosted workflow tests passed
Ledgerline
603 tests passed in a dated financial-control verification
SAR 760Kcash reconciled end to end
603tests passed
14control findings fixed
3finance sources in one ledger
Common questions
Before you start.
How do you control Snowflake spend?
Right-sized warehouses, auto-suspend, resource monitors and query review. We show which workloads drive usage.
Can we run AI on Snowflake data?
Yes. Snowflake offers built-in AI functions and Snowpark, and we can also pass data to external models where policy allows.
Do you migrate from older warehouses?
Yes. We map schemas and jobs, move data in phases, and compare results between old and new before switching users over.
What do you build with Snowflake?
Data warehousing, BI reporting, Data sharing, Analytics engineering, and related work. We choose Snowflake when it is the right fit for the product, the team and the budget.
Can you work with our existing Snowflake code?
Yes. We can review what you have, fix what is fragile, and extend it, or build alongside your team.
Keep exploring
More than Snowflake.
Other data and devops
Where we apply it
The Audit
Get my free AuditKnow what to build first.
Book a short call and show us one workflow. You leave with what we would build first, a fixed quote, and what should wait.