Data Warehouse Modernization
Improve the warehouse your business already depends on
On this page
Modernize the warehouse around current business needs
An existing warehouse can become harder to maintain as models, workloads and business definitions change. We assess what to preserve, improve or replace before planning modernization.
Modernization can happen within your existing Snowflake account. We redesign models, reconcile business measures and improve the way changes reach production. When a platform move is needed, our Cloud Migration service covers the transfer and cutover.
Key Benefits
Faster reporting workloads
Identify slow workloads and measure the effect of changes against an agreed baseline.
Controlled operating costs
Evaluate changes to compute, storage, tooling and maintenance costs against the current environment.
Self-Service Analytics
Give report builders reusable models and agreed measures, with clear owners for questions and changes.
Easier maintenance
Replace duplicated transformations and unclear dependencies with tested models and documented ownership.
Our Modernization Services
Warehouse and model assessment
Trace critical reports to their source data, identify conflicting definitions and decide which models to retain, refactor or retire.
Snowflake Performance Optimization
Use managed infrastructure and configure warehouses, clustering, and scaling for your workloads. Continue to monitor performance and cost as usage changes.
Snowflake cost optimization
We've seen Snowflake cost reductions of up to 70% through optimization. We assess your workloads and operating costs to identify the savings available in your environment.
Development and release workflow
Put transformations under version control with tests and separate development environments. Reconcile report results before changing the models they depend on.
Definitions and operating ownership
Agree business definitions, access rules and model owners. Document how your team monitors refreshes, investigates failures and approves changes.
Our Modernization Process
Assessment
Identify the reports, model dependencies and operational problems that matter most.
Planning
Prioritize changes by business value and agree how results will be reconciled.
Refactoring
Improve models and pipelines in stages while existing reporting stays available.
Validation
Compare results, performance and cost with the baseline, then establish ongoing ownership.
Where modernization changes the work
Reports disagree
Trace differences to their source: business definitions, join logic, history or refresh timing. Reconcile the measures with their owners and make the shared logic reusable.
Every change breaks something else
Map dependencies, separate reusable models from report-specific logic and test the results. Replace duplicated transformations in stages instead of rebuilding everything at once.
Costs and refresh times keep growing
Measure expensive queries, repeated processing and unused workloads. Tune the models and compute configuration, then monitor whether the changes improve the baseline.
From fragile reporting to a maintainable warehouse
The current friction
Conflicting measures
Different reports calculate the same concept differently
Fragile dependencies
Changes are hard to trace and risky to release
Manual upkeep
Repeated fixes depend on one person's knowledge
The working foundation
- Shared definitions and reusable models
- Tested transformations and reconciled reports
- Versioned releases and documented dependencies
- Workload cost and performance monitoring
- Named owners and operating runbooks
A platform move is one possible part of this work. If the warehouse already fits, the changes can stay within it.
Make your warehouse easier to use and maintain
Bring the warehouse limitations affecting your team. We can assess the changes that would make the platform easier to use and maintain.
Schedule a discovery call