Start: to be announced
Publication: to be announced
Region: Global
Let’s say it out loud: consolidating all data in a single platform doesn’t work.
While companies have managed to centralize some of their assets on the cloud, a full consolidation is impossible due to data gravity, migration costs, and the threat of vendor lock-in. Data teams are still contending with a patchwork of tools and pipelines that span data centers, clouds, and regions. They struggle to manage and prepare all these distributed inputs to feed analytics initiatives, especially those involving voracious AI models.
Emerging approaches offer part of the solution. The data mesh proposes that business owners publish standardized data products to the rest of the organization. The data fabric offers a common platform for integrating, cataloging, and governing assets across diverse environments. But data leaders still face a complicated balancing act: support innovation where you can; control and govern where you must.
This survey-based report assesses the art and science of managing distributed data environments. It will explore the requirements, use cases and methodologies of enterprises across various sectors and continents, distilling lessons and best practices from leading practitioners.
Business leaders as well as chief data officers and other data/AI leaders should read this report to understand the following: