/ transformation
- Packaging and orchestration using Hadoop-native wrappers
- Intelligent transformation engine, delivering up to 95% automation for:
- Data warehouse – Hadoop (Spark SQL and HQL), Python/Scala/Java
- ETL – Hadoop (Spark SQL and HQL), Python/Scala/Java, Amazon EMR/Azure HDInsight/Dataproc
- Analytics – Hadoop (Spark SQL and HQL)
/ 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 on Hadoop and Hive, and of other services for orchestration, monitoring, security etc.
- ETL – Provisioning on Hadoop/Hive/Amazon EMR/Azure HDInsight/Dataproc
- Analytics – Provisioning on Hadoop
