Data Platform Modernization
Retire the legacy warehouse. Keep the trust.
Migrate from Teradata, Netezza, Oracle, SQL Server or Hadoop to Snowflake, Databricks or Microsoft Fabric, with automated code conversion, reconciliation and parallel runs.
Why it matters
Legacy platforms are expensive, and they block AI
Legacy warehouses and on-premises Hadoop clusters are costly to license and staff, hard to scale, and poorly suited to AI workloads that need unstructured data, elastic compute and open formats.
The risk in modernization isn't moving data; it's breaking trust. Reports that don't match, pipelines that silently fail, and business users who quietly go back to spreadsheets. Our approach is built around reconciliation and sign-off at every wave.
How we de-risk migration
- Automated inventory of tables, jobs, queries and dependencies
- Tool-assisted SQL and ETL conversion with human review
- Row-, aggregate- and metric-level reconciliation
- Parallel runs and business sign-off before each decommission
What we deliver
Capabilities
Delivered by senior architects and specialist engineers, with security and governance designed in.
Discovery & inventory
Automated lineage of tables, jobs, reports and consumers.
Code conversion
SQL, stored procedure and ETL conversion with accelerators and review.
Reconciliation
Automated data validation and parallel-run comparisons.
Platform engineering
Secure, cost-governed platform setup with infrastructure as code.
BI & consumer migration
Repointing dashboards, extracts and downstream applications.
Decommissioning
Safe retirement of legacy platforms to realize savings.
Approach
How the engagement runs
Clear phases, clear exit criteria, and a working result at every stage.
Inventory
Automated discovery and complexity scoring.
Plan
Wave plan, target design and TCO.
Migrate
Convert, validate, parallel run, cut over.
Decommission
Retire legacy systems and lock in savings.
Typical starting engagement
Migration Pilot Wave
Fixed scope, fixed fee, and a clear decision at the end. Final pricing is confirmed after a short scoping call.
Scope this engagement →Starting at
- Target platform landing zone
- First migration wave end to end
- Automated reconciliation framework
- Wave playbook for the full estate
- Validated cost and timeline forecast
FAQ
Frequently asked questions
Straight answers to the questions CIOs, CTOs and procurement ask us first.
Which source platforms do you migrate from?
Teradata, Netezza, Oracle, SQL Server, Greenplum, Hadoop/Hive, Informatica and SSIS-based ETL, among others.
Will our reports change?
The goal is matching results. Every migrated report and metric is reconciled and signed off before cutover.
How do you control cost on the new platform?
Workload-aware sizing, auto-suspend policies, resource monitors, tagging and FinOps dashboards from day one.
Start here
Get a senior architect's view of your fastest path to value.
A 45-minute working session, not a sales pitch. Bring your toughest AI, data or cloud problem; leave with a point of view, a rough plan and a realistic budget range.
- Senior architects onlyNo account managers in the first meeting.
- Fixed-fee optionsClear scope, price and outcomes up front.
- Mutual NDA on requestBefore any detailed discussion.