Part 13/15:
Ensuring Data Quality: Implementing Purview and data quality frameworks within DevOps pipelines minimized errors and maintained high standards.
Performance Optimization: Techniques like Delta Lake Z-ordering, query optimization, and resource scheduling pools ensured quick response times and system stability.
Limited API Concurrency: Custom semaphore mechanisms controlled the flow of simultaneous API calls, preventing overload on source systems like Salesforce.
Frameworks and Best Practices for Scalability and Maintainability
To streamline operations and future growth, the team adopted:
- Metadata-Driven Architecture: Template-based code generation and prioritization enabled rapid deployment of new pipelines and KPIs.