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Federated data consolidation for storage and retrieval use-case framework

Identify the data sources to be consolidated.

Determine the data formats and structures of each source.

Assess the quality and consistency of the data.

Cleanse and normalize the data to ensure compatibility.

Define a common data model for integration.

Map the data from each source to the common model.

Establish data mapping rules and transformations.

Test and validate the integrated data for accuracy.

Select a suitable storage solution (e.g., database, data warehouse).

Design the storage schema based on the integrated data model.

Implement the storage infrastructure.

Optimize the data storage for efficient retrieval.

Identify the stakeholders and their access requirements.

Define access control policies and permissions.

Implement a federated access control mechanism.

Provide secure and controlled access to the consolidated data.

Establish data governance practices and policies.

Implement data quality monitoring and management.

Define data retention and archiving policies.

Regularly review and update the data consolidation framework.

Monitor the performance of data storage and retrieval processes.

Identify bottlenecks and areas for optimization.

Fine-tune the storage and retrieval systems for improved performance.

Continuously monitor and optimize the federated data consolidation framework.

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