Accelerated migration to Databricks

With LeapLogic, your transformation to Databricks 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
    • Say yes to key questions
    • Can I identify anti-patterns in my existing code and resolve them as per Databricks Lakehouse coding techniques and standards?
    • Will it make sense to design my future-state architecture using all cloud-native services (for orchestrating, monitoring, etc.)?
    • Will I know if I can meet my SLAs through Databricks Lakehouse or if I need cloud-native warehouses?
    • Data warehouse
    • Can I get schema optimization recommendations for partitioning, bucketing, clustering, etc.?
    • ETL
    • Will my ETL processing SLAs impact my choice for an optimum Databricks cluster size?
    • Can I save provisioning and maintenance costs for rarely used workloads on Databricks?
    • Hadoop
    • Is my optimization strategy for Update/Merge on Databricks apt?
    / transformation
    • Packaging and orchestration using Databricks-native wrappers
    • Intelligent transformation engine, delivering up to 95% automation for:
    • Databricks Lakehouse on AWS/Azure/GCP
    • ETL – Databricks Lakehouse on AWS/Azure/GCP, PySpark/Scala + Spark
    • Databricks Lakehouse on AWS/Azure/GCP, 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
    • Integration testing on enterprise datasets
    / operationalization
    • Capacity planning for optimal cost-performance ratio
    • Performance optimization
    • Robust cutover planning
    • Infrastructure as code
    • CI/CD
    • Provisioning of Databricks Lakehouse and other required services
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    Watch LeapLogic in action

    Automated workload transformation from Informatica to Databricks

    Automated workload transformation from Teradata to Databricks

    Automated workload transformation from SAS to Databricks

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    Explore resources to support your transformation initiatives

    CASE STUDY

    30% performance improvement by converting Netezza and Informatica to Azure-Databricks stack

    CASE STUDY

    20% SLA improvement by modernizing Teradata workloads on Azure

    WEBINAR

    Accelerate your data estate modernization journey

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    Learn more about these benefits and best practices for cloud-native transformation