Metadata Orchestration

Overview

Metadata orchestration involves managing and coordinating metadata across various systems and processes within the MFSQL Connector. This ensures that metadata is consistent, accurate, and up-to-date throughout the data lifecycle.

Key Components

1. Metadata Extraction: Identify and extract metadata from source systems during the initial load and subsequent updates.

2. Metadata Transformation: Apply necessary transformations to the metadata to fit the target schema and business requirements.

3. Metadata Loading: Load the transformed metadata into the MFSQL Connector’s metadata store.

Orchestration Strategies

• Centralized Metadata Management: Maintain a single source of truth for metadata, ensuring consistency across all systems.

• Decentralized Metadata Management: Allow individual systems to manage their own metadata, with periodic synchronization to the central repository.

• Hybrid Approach: Combine elements of both centralized and decentralized approaches, depending on the specific use case and requirements.

Best Practices

• Implement version control for metadata definitions and schemas.

• Regularly audit and validate metadata to ensure accuracy and completeness.

• Provide clear documentation and training for users involved in metadata management.