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Case Study

A Leading Oil and Gas Organization Automates OSDU Schema Migration

Automated data definition upgrades help customers stay current, reduce manual effort, and improve data reliability across releases.
Challenge

For this leading Oil & Gas company, keeping customer data aligned with the latest Open Subsurface Data Universe (OSDU®) schema was manual, time-consuming, and prone to error. Each upgrade required complex mapping logic, custom pipelines, and a risky manual rollback process if errors occurred.

 

Customers using legacy schema versions could not access new features introduced in each OSDU release, slowing adoption of platform enhancements and increasing operational burden. 

Solution

Hitachi Digital Services’ company 47Lining developed an automated schema upgrade solution that updates different data types and references to the latest schema standards. The service was designed to reduce manual migration work while improving control and reliability across the upgrade process. 

 

To protect data integrity, Hitachi Digital Services built in comprehensive transaction history, automated rollback, robust logging, and debugging tools. The solution also supports scalable processing for large data volumes, helping teams manage and resolve issues efficiently. 

Result

The automated upgrade solution turns a difficult maintenance challenge into a platform accelerator. Customers can keep data current with less effort and gain faster access to the latest OSDU capabilities. 

 

  • Accelerated feature adoption: Customers can keep data up to date and use the latest OSDU features and standards. 
  • Reduced operational effort: Automation lowers the labor and cost required to maintain data consistency across releases. 
  • Enhanced data integrity: Automated processing minimizes human error and supports reliable downstream analytics and decisions. 
Key benefits include:

Accelerated feature adoption

Reduced operational effort

Enhanced data integrity