Today’s organizations want to build analytics-based applications and use data and analytics to become more competitive.

They are modernizing their data environments to support these advanced analytics and looking for a scalable environment to meet their data needs. Many organizations are dealing with hybrid environments as part of this modernization effort.

Recently, the data mesh paradigm has emerged. The data mesh is an organizational and architectural approach for sharing, accessing, and managing analytics data in complex and large-scale environments within or across organizations. Data mesh architecture and processes can be accomplished in different ways and new products and organizational constructs will emerge to support some of the principles of the data mesh.

What are the implications for the data mesh and the cloud? How can the cloud and the data mesh work together? This report examines these questions and offers five essential actions your enterprise should take to ensure a successful data mesh adoption.

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