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Data warehouse modernization

Data warehouse modernization: pick the architecture, then migrate in waves.

A warehouse migration is a change of platform and a chance to retire what nobody uses. The order matters: decide the target, plan the waves, and keep the old system alive until the numbers match.

The short answer

Data warehouse modernization moves an aging warehouse, such as Teradata, Netezza or Greenplum, to a platform that fits current needs: a cloud warehouse, a lakehouse or a Postgres-based MPP database. Ace8 chooses the target from your workload, converts SQL and loaders, migrates in waves and validates every report against the source.

Choice

Which warehouse architecture should you move to?

No architecture wins in general. The workload, skills and three-year cost decide.

ArchitectureExamplesGood fit whenTrade-off
Cloud data warehouseSnowflakeSQL analytics, many consumers, variable demandCost needs governance
LakehouseDatabricksWarehouse plus data science, streaming and open formatsMore platform to learn
Postgres-based MPPApache Cloudberry, WarehousePGOpen-source, on-premises or cost-sensitive needsYou operate it, or pay a vendor to
Stay and optimizeExisting platformStable workload and acceptable licenceRecurring cost and platform risk

Method

How do you migrate a warehouse without a big-bang cutover?

Waves reduce risk. Each wave carries a set of related tables, the jobs that load them and the reports that read them.

  1. 1

    Usage analysis

    Find what is queried and what is not. Retire unused objects.

  2. 2

    Dependency map

    Trace sources, loads, transformations and consumers.

  3. 3

    Wave plan

    Group by subject area. Start with a low-risk wave to prove the pipeline.

  4. 4

    Convert and load

    Convert SQL and loaders, then load history and sync changes.

  5. 5

    Parallel run and diff

    Compare outputs between old and new for each wave.

  6. 6

    Switch and retire

    Move consumers, then decommission when the last wave holds.

Beyond the database

What about the pipelines and reports?

A warehouse is mostly what feeds it and reads it. ETL jobs, schedulers, BI semantic layers and extracts to other systems all point at the old platform. They are part of the scope. Plan to move them in the same waves as the tables they use.

Where the feeds are integration flows, Duczer East, a sister practice of AceMQ, covers integration work. Where the consumers are applications, see legacy application modernization.

Cost

What does a warehouse migration cost?

We show the factors and the formula in the assessment. Any figure quoted before that would be a guess.

  • Volume of SQL, procedures and loader code.
  • Number of reports and downstream consumers.
  • Data volume and the time to move it.
  • Dual-running period.
  • Run cost of the new platform, which depends on design and governance.

Trust

How do you know the new warehouse is right?

Row counts, checksums and report-level diffs for every wave, kept in a log. A converted query that runs is not proof of correctness. We compare the numbers business users read, and an engineer reviews every difference. See our method and, for industries that audit this, insurance and financial services.

FAQ

Frequently asked.

Something else on your mind? Ask an engineer.

Moving an aging warehouse to a platform that fits current needs, such as a cloud warehouse, lakehouse or Postgres-based MPP, including its SQL, loaders and reports.

Know the cost before anything moves.

A fixed-price assessment gives you the inventory, the risk score and a phased plan. Scope and cost are fixed before the migration starts.

Book a Fixed-Price Assessment

Get in touch

Talk to a modernization engineer

Tell us what you run today. An engineer, not a sales script, replies within one business day.

305-204-2607info@ace8.io

66 W. Flagler St. 9th Floor
Miami, FL 33130

What are you moving off? *

Fixed price. Scope and cost before any migration starts.