/ 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