SYSTEMS / IN PRACTICE
Technology belongs inside the real operating environment.
Transform + Validate
Data & Software Modernization
Replace expensive legacy technology without turning modernization into a multi-year rewrite.
Review a modernization projectTHE OUTCOME
Modernize SQL, ETL, applications and runtime foundations while preserving behavior and controlling migration risk.
01
Legacy SQL and stored-procedure migration
02
Data-platform and ETL modernization
03
Framework and runtime upgrades
04
Legacy application modernization
WHAT WE START WITH
Inputs and constraints.
- Legacy code and schemas
- Runtime constraints
- Reference outputs
- Target architecture
WHAT THE WORK PRODUCES
Concrete deliverables.
- Modernization plan
- Converted and tested code
- Output comparison
- Deployment guidance
FOCUSED ENGAGEMENTS
Start with the
specific problem.
Data platform leader, CTO, modernization owner, analytics engineering lead
Move legacy SQL workloads to a modern stack without rewriting everything by hand.
Explore this engagement Data platform leader, enterprise architect, migration program ownerMove Oracle or Teradata workloads to Snowflake and dbt with evidence at every step.
Explore this engagement CTO, engineering director, application owner, modernization leadModernize a critical legacy application without defaulting to a full rewrite.
Explore this engagementSTART WITH THE REAL SYSTEM
Review a modernization project.
Bring the current architecture, constraints and the result your team needs to trust.
Discuss the project