Accelerated migration to Google Cloud

With LeapLogic, your transformation to Google Cloud will happen faster, with more accuracy, thanks to superior analysis, automation, and validation



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    Explore the transformation potential in your business

     

    / Assessment
    • Get answers to key questions
    • Will it make sense to design my future-state architecture using all Google Cloud-native services (for data processing and storage, orchestrating, analytics, etc.)?
    • Can I save provisioning and maintenance costs for rarely used workloads on Google Cloud?
    • Data warehouse
    • Can I get schema optimization recommendations for partitioning, clustering, etc.?
    • ETL
    • Will the assessment help me choose Google Cloud services for meeting ETL SLAs?
    • Analytics
    • Will it be beneficial to convert my analytical functions to Spark libraries or some native Google Cloud functions?
    • Will my ETL processing SLAs impact my choice of an optimum Dataproc cluster size?
    • Hadoop
    • Is my optimization strategy for Update/Merge on BigQuery apt?
    / transformation
    • Packaging and orchestration using Google Cloud-native services
    • Intelligent transformation engine, delivering up to 95% automation for:
    • Data warehouse – BigQuery, Dataproc, Snowflake on Google Cloud, Databricks on Google Cloud
    • ETL – Cloud Data Fusion, Dataflow, Dataproc, PySpark
    • Analytics – Google Cloud Dataproc, PySpark
    • Hadoop – BigQuery, Snowflake on Google Cloud, Presto query engine
    / validation
    • All transformed data warehouse, ETL, analytics, and/or Hadoop workloads
    • Business logic (with a high degree of automation)
    • Cell-by-cell validation
    • File-to-file validation
    • Integration testing on enterprise datasets
    • Assurance of data and logic consistency and parity in the new target environment
    / operationalization
    • Productionization and go-live
    • Capacity planning for optimal cost-performance ratio
    • Performance optimization
    • Robust cutover planning
    • Infrastructure as code
    • Automated CI/CD
    • Data warehouse – Provisioning of Dataproc/BigQuery/Snowflake, and other Google Cloud services for orchestration, monitoring, security, etc.
    • ETL and analytics – Provisioning of Cloud Data Fusion, Dataflow, Dataproc and other required services
    • Hadoop – Provisioning of BigQuery/Snowflake on Google Cloud and other required services
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    Learn more about these benefits and best practices for cloud-native transformation

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    Automated workload transformation from Teradata to Google Cloud

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    Explore resources to support your transformation initiatives

    WHITE PAPER

    Map your migration: Modernize legacy data architecture on Google Cloud

    SOLUTION BRIEF

    Intelligent and automated transformation of your enterprise data warehouse to Google Cloud

    CASE STUDY

    Accelerated implementation of a hybrid cloud-based data lake with LeapLogic