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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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Watch LeapLogic in action
Automated workload migration from Teradata to Amazon Redshift
Automated workload migration from Informatica to AWS Glue
Automated workload migration from Ab Initio to AWS Glue
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Explore resources to support your transformation initiatives
WEBINAR 
The fastest way to convert ETL, analytics, and data warehouse to AWS
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
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Learn more about these benefits and best practices for cloud-native transformation
