GraphQL is powerful.

SQL is powerful.

Combining them safely enables data scientists, researchers, R&D engineers, and due diligence teams to validate and analyze information immediately. This is especially true as the data science market rockets toward a projected $1.8 trillion by 2033, enterprises need secure, scalable data solutions more than ever.

In this session, Anthony showcases how GraphQL, paired with an Expression Parser, is transforming secure data access at scale. This, paired with a safe, deny-by-default access model grants organizations a simple path to managing flexible, complex data queries and mutations across any SQL database via GraphQL; enhancing compliance and control is a necessity as policy-based access control and cloud deployments surge.

Join this session to learn practical techniques for safe, efficient API management in data-intensive environments.