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Case Study

Enabled end-to-end automation for data migration and batch process on the cloud platform

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Leveraged data automation with Mindtree’s internal framework to reduce test execution time by 70%.

About the Client

The client is one of the world’s fortune 250 American holding company, which operates multiple insurance and investment management businesses through subsidiary companies across the world.

Key Challenges:

  • Large volume of data to be migrated from multiple legacy systems to target data warehouse
  • Batch data load process with huge file size across the source to S3 on AWS cloud

Solution

  • Developed integrated platform for enterprise level data analytics platform with data from multiple source systems
  • Test strategy for data migration and batch data loads from on-premise source system to AWS cloud storage system
  • Mindtree successfully leveraged end-to-end automation on the AWS data platform for data validation across multiple layers

Benefits

  • Enabled end to end data automation, reducing regression cycle efforts up to 60
  • 100% test coverage for data migration and incremental data validations
  • Helped in identifying data ambiguities and quality issues at early stages
  • Faster time to market

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