Data catalogs and governance for API platforms
Implementing a good data catalog and governance policies in API platforms is critical for ensuring data quality, security, and compliance.
A data catalog provides a centralized repository for documenting and discovering data assets, making data more accessible and usable. Governance policies enforce standards for data handling, ensuring privacy and regulatory adherence. This allows organizations to monitor data usage, enforce access controls, and maintain data integrity.
Effective data cataloging and governance reduce risks, support informed decision-making, and enhance overall operational efficiency, ensuring that data is managed responsibly and effectively across the enterprise.
Join us for a Q&A session with Ken Stott, former Director of Architecture at Fortune 50 bank. Ken has extensive experience crafting data strategies, managing regulatory challenges, and leading technology initiatives across the finance, energy, and MedTech sectors. He’ll share insights on integrating a supergraph with your data governance strategy, ensuring robust, secure data management.
This session will feature practical tips and real-world examples to transform your data governance processes.
What you will learn
- How a supergraph paradigm simplifies data management and enhances business value by unifying data domains.
- The role of GraphQL in creating a self-documenting data catalog and a unified semantic layer to support automated data governance.
- Best practices for integrating API platforms with data catalogs to ensure data quality, security, and compliance.
- Insights on crafting effective data strategies and navigating regulatory challenges in various industries.
Who should attend
- Data governance architects seeking innovative solutions to streamline and automate their processes.
- API developers and engineers looking to integrate GraphQL for enhanced data access and governance.
- Data architects designing unified, scalable data management systems using supergraph and API technologies.
- IT leaders and strategists aiming to improve data quality, security, and regulatory compliance across their organizations.
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What you will learn
- How a supergraph paradigm simplifies data management and enhances business value by unifying data domains.
- The role of GraphQL in creating a self-documenting data catalog and a unified semantic layer to support automated data governance.
- Best practices for integrating API platforms with data catalogs to ensure data quality, security, and compliance.
- Insights on crafting effective data strategies and navigating regulatory challenges in various industries.
Who should attend
- Data governance architects seeking innovative solutions to streamline and automate their processes.
- API developers and engineers looking to integrate GraphQL for enhanced data access and governance.
- Data architects designing unified, scalable data management systems using supergraph and API technologies.
- IT leaders and strategists aiming to improve data quality, security, and regulatory compliance across their organizations.
