Migrate your warehouse in waves, with every table proven
Moving off Teradata, Netezza, Oracle or Hadoop is usually a multi-year program with a risky cutover. Data Workers inventories every object and consumer, moves workloads in approved waves and proves parity table by table.
Before and after
| Today | With Data Workers |
|---|---|
| A multi-year program with consultants | Workloads moved in small, reversible waves |
| A frozen change window | Business as usual during the move |
| Parity testing that is manual and partial | Parity proven for every table and report |
| A big-bang cutover | The old platform switched off when the last consumer moves |
How it works
1. Inventory everything
Data Context & Catalog maps every table, job and consumer; blast_radius_analysis shows what depends on what.
2. Move in waves
The Data Migration agent translates SQL and jobs, Pipeline Building rebuilds models on the target, and each wave is approved before it runs.
3. Prove and switch
Quality Monitoring proves row-level parity, Conductor watches SLAs through every wave and rolls back anything that drifts; consumers move, then the old platform turns off.
The impact metrics we move
- •Estate inventory: from about 2 months to 1 day
- •One migration wave: from about a month to ~1 wk
- •Table parity proven: from about 2 days to under 1 h
Where teams start
- •Teradata to Snowflake or Databricks. SQL and BTEQ translated, parity proven per table.
- •Hadoop exit. Hive and Spark jobs moved to a cloud lakehouse.
- •Oracle and SQL Server warehouses. Stored procedures rebuilt as tested models.
- •Redshift to Snowflake or BigQuery. Workloads moved without a freeze.
- •Cross-cloud consolidation. Two warehouses after an acquisition become one.
The climb: from assisted to autonomous to agentic
Every transformation runs on the same ladder from our thesis: agents first inventory and propose with receipts, then move work in approved waves, and the finished platform keeps running itself once the move is done.
The pilot
- •Scope. Inventory the estate and run one approved migration wave.
- •First week. Agents run at L1, observing only, and show the fixes they would have made, with receipts.
- •By week two. The routine work above runs on its own; anything sensitive stays with a named approver.
- •At day 30. We review the impact metrics against your baseline:
- •Estate inventory: from about 2 months to 1 day
- •One migration wave: from about a month to ~1 wk
- •Table parity proven: from about 2 days to under 1 h
- •Cost. Start with a pilot ($7,500 one-time, credited in full against the first year). Scale is from $1,000 a month and Enterprise from $3,000 a month, billed annually, with unlimited seats, no usage meter and no markup on model spend. See pricing.
FAQ
Do we need a change freeze? No; waves are small and reversible.
How is parity proven? Row counts, aggregates and sampled rows per table, plus report-level checks.
What happens if a wave drifts? Conductor rolls it back and the wave is reworked.