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 with AWS

 
/ Assessment
  • Get answers 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 ML-based 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

Automated workload migration from Teradata to Amazon Redshift

Automated workload migration from Informatica to AWS Glue

Automated workload transformation from Hadoop to Amazon EMR

Automated workload transformation from SAS to Amazon EMR

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Explore resources to support your transformation initiatives

Case Study

Data platform migration and modernization on AWS significantly reduces passenger wait time for United Airlines

Case Study

A bank’s analytics transformation journey - Automated assessment and transformation of Informatica workflows and Oracle EDW to AWS

Case Study

Automated migration from Netezza to AWS for a Fortune 500 mortgage lender

Explore more resources

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

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