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Migrating 40,000+ data objects from WhereScape to dbt in six months

We replaced a legacy WhereScape data-warehouse automation platform with dbt. Using an automated, Python-based framework, we migrated 40,000+ database objects 1:1 in six months, with no downtime and the Data Vault model fully preserved.

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Migrating 40,000+ data objects from WhereScape to dbt in six months

About the client

Global consumer goods leader operating across complex supply chains, production, and commercial environments worldwide.

The challenge

The client needed to replace a legacy DWH automation platform with dbt without risking existing operations, governance, or data quality.

  • Migration of 40,000+ database objects within a strict six-month timeline
  • Delivery of a 1:1 migration with no functional or structural changes
  • Preservation of the Data Vault model exactly as implemented in WhereScape
  • Minimal disruption to reporting and business users

The solution

UD4D designed a fully automated migration framework, using Python-based code generation instead of manual rewrites.

  • Analysis of existing WhereScape metadata and object dependencies
  • Development of Python scripts translating WhereScape metadata and logic into dbt models
  • Preservation of full object parity and Data Vault structures through automation
  • Implementation of a validation framework comparing source and target objects
  • Transition of documentation and lineage from a visual tool into dbt’s documentation framework

Business impact

  • 40K+

    objects migrated in six months

    Python-based code generation handled tens of thousands of objects within months rather than years.

  • 0

    downtime during the migration

    Identical system behaviour across all migrated objects kept business operations running without interruption.

  • 1:1

    data parity verified

    Systematic testing confirmed source and target parity, preventing human error in the complex Data Vault logic.

  • 100%

    Data Vault architecture preserved

    The existing Data Vault model transferred fully intact, protecting prior architectural investment.

Frequently asked questions

What did the client need?

To replace a legacy data-warehouse automation platform with dbt and migrate 40,000+ database objects within six months, without risking existing operations, governance, or data quality. The Data Vault model also had to be preserved exactly as implemented in WhereScape.

How did UD4D migrate 40,000+ objects in six months?

Instead of manual rewrites, UD4D built a fully automated migration framework. Python scripts analysed WhereScape metadata and object dependencies and translated that logic into dbt models, so tens of thousands of objects could be migrated within months rather than years.

How were data quality and parity guaranteed?

A validation framework systematically compared source and target objects and confirmed 1:1 parity. This minimized the risk of human error in the complex Data Vault logic and ensured the migration ran without interruption.

Was the Data Vault architecture affected?

No. The existing Data Vault model was transferred fully intact. Documentation and data lineage were also moved from the visual tool into dbt’s documentation framework.

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