A leading investment management company in North America required significant data testing effort for their data modernization journey. Data movements across distributed upstream and downstream applications, structured data involving heterogeneous storage environments and data volume of petabytes were involved in the program.
Existing data on conventional databases and big data landscape is being migrated to cloud for realized and proven benefits. This involved:
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A full stack automation framework was designed and developed for the data warehouse testing program. Test strategy developed for Big Data, Data Lake, Cloud migration, BI report validation and rationalization included solutions and skill development.
With no in-house cloud testing solution, client testing team was forced to follow sampling manual testing approach for the validation of migrated data as part of the project. Infosys QA team addressed this inefficient process by working on a cloud solution that can automate cloud testing. This AWS cloud native solution was proactively offered to the client and was then implemented after a successful proof of concept (POC). Key features of the solution were:
Other solution features include:
On-demand test environment provisioning and access control through successful cloud adoption
100% data validation for huge datasets of over 1 billion records
Effortless handling of multiple releases with 100% agile adoption and 70% regression automation
Up to 70% increase in execution productivity and optimized data comparison