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rakeshroshan@foogy.in

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Timeline: How Foogi Completed the HANA to Big Query Migration in Less Than 3 Months

  • Assessment & Planning (3 weeks):
    We performed a thorough assessment of Apollo Pharmaceuticals’ SAP HANA environment, identifying the scope, resources, and requirements for the migration.

  • Data Mapping & Transformation (4 weeks):
    Foogi’s team mapped the data structure from SAP HANA to Google BigQuery, ensuring compatibility and transforming data to fit BigQuery’s cloud architecture.

  • Cloud Setup & Configuration (2 weeks):
    We set up the Google BigQuery environment, configuring it for optimized performance, storage, and security according to Apollo’s specifications.

  • Data Migration & Testing (6 weeks):
    The migration was completed in incremental phases, with thorough testing and data validation conducted at each stage to ensure accuracy and integrity.

  • Production Transition & Post-Migration Support (2 weeks):
    The final stage involved transitioning the migrated data to production, followed by fine-tuning and providing ongoing support and training to ensure Apollo Pharmaceuticals could maximize the use of their new system.

Published:
September 28, 2019
Category:
Technology
Client:
Apollo