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    Snowflake to BigQuery Migration

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    • Snowflake to BigQuery Migration
    Deciphering Data Points For Tangible Insights
    Overview

    Accelerated Snowflake to BigQuery Migration with Generative AI

    Atgeir Solutions, in collaboration with Google Cloud, delivers a Generative AI–powered Data Migration Suite designed to accelerate migrations from Snowflake to BigQuery. The solution automates schema mapping, SQL code conversion, validation, and security migration—reducing manual effort, minimizing risk, and ensuring a faster, cost-efficient, and enterprise-grade transition with high data integrity.

    The Problems It Solves

    Manual coding errors from rewriting stored procedures and views

    High migration costs due to labor-intensive processes

    Lengthy project timelines causing business disruption

    Complex SQL syntax differences between platforms

    Data inconsistency and quality risks during migration

    Loss of roles, permissions, and security controls

    What Does the Product Do?

    AI-powered conversion of stored procedures and views

    Automated schema and data type mapping

    Migration of roles, access controls, and security policies

    Centralized data quality monitoring dashboard

    Time and cost estimation for better resource planning

    End-to-end traceability with detailed logs

    Frequently asked questions

    • How is this migration different from traditional ETL-based migration?
      Traditional migrations rely heavily on manual code rewriting and custom scripts. Our GenAI-powered approach automates schema mapping, SQL conversion, and validation—significantly reducing manual effort, risk, and project timelines.
    • How accurate is the AI-based code conversion?
      The solution is trained to understand SQL syntax differences between Snowflake and BigQuery. Automated validation and reconciliation checks further ensure high accuracy. Any flagged edge cases are highlighted for review.
    • Will my security roles and access controls be preserved?
      Yes. The suite migrates roles, permissions, and governance policies to ensure the target environment mirrors the original security posture.
    • How does the solution ensure data integrity?
      It performs automated row-level and aggregate-level reconciliation, schema validation, and continuous monitoring to detect discrepancies during and after migration.
    • Can this handle large-scale enterprise data environments?
      Yes. The solution is designed for enterprise-scale workloads and supports complex schemas, high data volumes, and mission-critical systems.
    • How long does a typical migration take?
      Timelines depend on data volume and complexity. However, automation significantly reduces migration time compared to traditional manual methods. The suite provides upfront time and cost estimations during the assessment phase.
    • Is downtime required during migration?
      The approach is designed to minimize downtime through phased migration, validation cycles, and parallel testing before final cutover.
    • Does the solution provide post-migration support?
      Yes. Continuous monitoring dashboards and logging capabilities ensure long-term data quality visibility and operational stability post-migration.
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