Enterprise data and API strategies

Enterprise data and API strategies

Effective enterprise data and API strategies are crucial for managing today's complex data environments. A federated data access layer built with a unified semantic layer using GraphQL serves as both a comprehensive data catalog and a robust governance framework.

This approach not only streamlines data access across diverse systems but also ensures data quality, security, and compliance.

Join us for an interactive Q&A with Ken Stott, a veteran leader of Enterprise Architecture at Fortune 50 banks, as we learn how he used GraphQL's capabilities to create a seamless, integrated data landscape with efficient data management and governance while reducing complexity and operational costs.

Ken’s extensive experience lends insights into leveraging the supergraph architecture to implement a scalable enterprise data and API platform, ensuring robust, secure data management. This session will feature practical tips and real-world examples to transform your enterprise data and API strategies, enabling efficient federated data access and comprehensive data governance.

Ken Stott
Ken Stott
Data Management Consultant
Sandip Devarkonda
Sandip Devarkonda
Field CTO, Hasura
The Brief
What you will learn
  • How to design and implement a federated data access layer using a unified semantic layer with GraphQL.
  • Strategies for creating a comprehensive data catalog that enhances data discovery, accessibility, and governance.
  • Best practices for implementing data governance strategies to ensure data quality, security, and regulatory compliance.
  • Insights on crafting effective enterprise data strategies and navigating complex regulatory challenges.
Who should attend
  • Enterprise engineering teams looking to design scalable API platform strategies.
  • 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 organization.
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