Accelerated migration to AWS

With LeapLogic, your transformation to AWS 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 AWS coding techniques and standards?
    • Will it make sense to design my future-state architecture using all AWS-native services (for orchestrating, monitoring, etc.)?
    • Will I know which workloads can benefit from EMR vs. Redshift cloud data warehouses?
    • 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 distkeys, sort keys?
    • ETL
    • Will the assessment help me choose AWS services for meeting ETL SLAs?
    • Analytics
    • Will it be beneficial to convert analytical functions to Spark libraries?
    • 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 partitioning, bucketing, clustering etc.?
    / transformation
    • Packaging and orchestration using AWS-native wrappers
    • Intelligent transformation engine, delivering up to 95% automation for:
    • Data warehouse – Amazon EMR, Amazon Redshift, Snowflake on AWS
    • ETL – AWS Glue, Amazon Redshift, PySpark/Scala + Spark
    • Analytics – Amazon EMR, PySpark/Scala + Spark
    • Hadoop – Amazon Redshift, Snowflake on AWS, 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
    • 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
    • Hadoop – Provisioning of Redshift/Snowflake on AWS and other required services



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