Accelerated migration to AWS

Accelerate your ETL, analytics, Hadoop, reporting, and data warehouse migration and transformation to AWS with LeapLogic

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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 AWS-native services (for data processing and storage, orchestrating, analytics, BI/reporting, etc.)?
    • Will I know which workloads can benefit from EMR vs. Redshift cloud data warehouses or AWS Glue, Lambda, Step Functions, etc.?
    • Can I save provisioning and maintenance costs for rarely used workloads on AWS?
    • Data warehouse
    • Can I get schema optimization recommendations for distribution style and dist keys, sort keys, etc.?
    • ETL
    • Will the assessment help me choose AWS-native services for meeting ETL SLAs?
    • Analytics
    • Will it be beneficial to convert analytical functions to Spark libraries or some native AWS functions?
    • Will my ETL processing SLAs impact my choice of an optimum Amazon EMR cluster size?
    • Hadoop
    • Is my optimization strategy for Update/Merge on AWS Redshift apt?
    • Can I get schema optimization recommendations for distribution style and dist keys, sort keys, etc.?
    • BI/Reporting
    • Can I use the processed data from my modern cloud-native data warehouse stack for my BI/reporting needs and leverage it with a modern BI stack?
    / transformation
    • Packaging for and orchestration using AWS-native services
    • Intelligent transformation engine, delivering up to 95% automation for:
    • Data warehouse to AWS stack migration – Amazon EMR, Amazon Redshift, Snowflake on AWS, Databricks on AWS
    • ETL to AWS stack migration – AWS Glue, Amazon Redshift, PySpark
    • Analytics to AWS stack migration – Amazon EMR, PySpark
    • BI/Reporting to AWS stack migration – Amazon QuickSight
    • Hadoop to AWS migration – Amazon Redshift, Snowflake on AWS, Presto query engine
    / validation
    • All transformed data warehouse, ETL, analytics, BI/reporting, 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 Amazon EMR/Amazon EC2/AWS Redshift/Snowflake, and other AWS services for orchestration, monitoring, security, etc.
    • ETL –Provisioning of AWS Glue and other required services
    • Analytics –Provisioning of Amazon EMR and other required services
    • BI/Reporting –Provisioning of Amazon QuickSight
    • Hadoop –Provisioning of Redshift/Snowflake on AWS and other required services


    Automated workload migration: Hadoop to Amazon EMR

    Automated reporting migration to AWS: Tableau to Amazon QuickSight

    Automated data warehouse migration to AWS: Oracle to Amazon Aurora

    Automated reporting migration to AWS: OBIEE to Amazon QuickSight


    Explore resources to support your transformation initiatives


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    Learn more about the benefits and best practices for AWS-native transformation