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Augur Data

Enterprise Data Migration Specialists

Modernize your data platform. Preserve your business logic.

Augur Data specializes in migrating complex data transformations from legacy systems to modern SQL-based platforms. We combine specialized engineering expertise, a purpose-built migration process, pragmatic AI automation, and rigorous validation to help enterprises modernize with confidence.

Discuss Your MigrationSee Our Approach

Fig. 01 — Logic, traced & verified

Why Augur

Migration takes more than replacing code.

It requires understanding what the existing logic does, proving that the replacement works, and making the transition safely.

  1. 01

    Specialized Expertise

    Deep engineering experience with complex transformation logic and modern data platforms.

  2. 02

    Purpose-Built Process

    Structured assessment, translation, validation, issue resolution, and production transition—not ad hoc engineering work.

  3. 03

    Pragmatic AI Automation

    Automate as much as possible, but no more. Accelerate repetitive work while retaining expert oversight and judgment.

  4. 04

    Parallel Migration Progress

    With suitable representative inputs and expected outputs, logic can be migrated and tested before new production data pipelines are complete.

Our approach

Four stages

  1. 01

    Assess

    Inventory transformation logic, dependencies, complexity, and migration scope.

  2. 02

    Translate

    Rebuild logic in the target environment with AI assistance and expert review.

  3. 03

    Validate

    Compare results against reference outputs, investigate exceptions, and work with stakeholders to confirm business correctness.

  4. 04

    Transition

    Connect production sources, reconcile results, and establish acceptance for operational use.

Pipeline-independent validation

Don't wait for every new data pipeline to be finished.

With representative input datasets and expected outputs, Augur can begin translating and validating legacy transformation logic in the target environment while destination ingestion work proceeds separately.

Production integration, reconciliation, and final acceptance remain essential stages of delivery.

Validate logic before production pipelines are complete

Parallel workstreams

Track A — Logic validation

  1. Reference inputs

    + expected outputs

  2. Translate

    transformation logic

  3. Compare outputs

    resolve exceptions

Track B — Production ingestion

  1. Build destination

    production pipelines

  2. Connect live sources

    and test integration

Production integration Reconciliation Final acceptance

Subject to suitable inputs and expected results; final acceptance still requires production reconciliation.

Expertise

Focused on the hardest part of modernization.

We focus on the transformation logic that turns raw data into business-critical outputs. Our work can span workflow-based, enterprise warehouse, and other legacy transformation environments, with implementations designed for modern SQL-based platforms.

Examples, not exhaustive coverage

Legacy transformation environments

  • Alteryx
  • SAP BW
  • Other legacy environments

Modern implementation technologies

  • SQL
  • dbt
  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Other SQL-based platforms

Migrating complex data transformations?

Let's discuss your existing transformation estate, target environment, and the challenges holding the migration back.

Discuss Your Migration