Noel covers AI data fabrics, data management, modern data and AI platforms, data architecture, large-scale databases, data lakes and lakehouse architectures, translytical systems, data integration patterns, cloud and hybrid cloud ecosystems, and data platform security. His current focus is on emerging markets, next-generation data architectures, cloud and multicloud strategies, and AI-ready data for analytics and modern use cases.
Discover best practices to optimize enterprise data fabric strategies, enhancing governance, scalability, and AI-driven innovation for business success.
An AI data fabric unifies data ingestion, storage, processing, and access through a metadata-driven architecture, enabling automation and real-time discovery.
Technology and data leaders can use this report to understand the value they can expect from a data lakehouse and to explore potential partners.
Modern data platforms unify ingestion, storage, AI-driven insights, and governance, enabling real-time, scalable intelligence for enterprise decision-making.
In our evaluation of data fabric platforms providers, we researched, analyzed, and scored the most significant ones.
Open table formats drive interoperability, scalability, and AI readiness, empowering flexible data platforms while addressing challenges holding businesses back.
What research can you expect from Forrester in the next 12 months? Updated biweekly, our publishing plan will keep you current with market and technology trends. Use the link below to download a list of our upcoming research.
