Data Asset Rationalization Framework enables rationalization of on-premise data assets prior to cloud migration and facilitates identification of the right set of data to be migrated. It classifies enterprise data assets and provides rationalization recommendations in line with the future state data strategy.

Database Objects Analyzer aids in quick analysis of database objects (tables, views, stored procedures, functions, scripts/codes) and helps in sizing the project and complexity of migration. It offers reports containing list of objects such as transformations and functions, complexity information, and source/target dependency information.

Code Converter converts procedural logic/SQL code into SQL scripts/PySpark data frames, preserving business logic and general flow. It groups patterns and migrates code segments (70-95%), reducing total project cost by up to 80%. It also refactors the code so that native cloud elasticity can be leveraged.

PySpark-based Data Transformation Framework helps in processing incremental data load. It was developed using Sqoop, PySpark, AWS Glue, AWS Glue catalogue and AWS S3. It reduces the effort to build new ETL job by 50% and delivers 40% improved performance over several leading COTS ETL platforms.