/ transformation
- Packaging and orchestration using Google Cloud-native services
- Intelligent transformation engine, delivering up to 95% automation for:
- Data warehouse – BigQuery, Dataproc, Snowflake on Google Cloud, Databricks on Google Cloud
- ETL – Cloud Data Fusion, Dataflow, Dataproc, PySpark
- Analytics – Google Cloud Dataproc, PySpark
- Hadoop – BigQuery, Snowflake on Google Cloud, 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
- 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 Dataproc/BigQuery/Snowflake, and other Google Cloud services for orchestration, monitoring, security, etc.
- ETL and analytics – Provisioning of Cloud Data Fusion, Dataflow, Dataproc and other required services
- Hadoop – Provisioning of BigQuery/Snowflake on Google Cloud and other required services