Distributed, decentralized data architectures that help organizations who choose to move away from monolithic architectures, towards multi-cloud and hybrid-cloud computing, or who must operate in a globally decentralized manner.Tools that provide data products as data collections, data events and data analytics.To create high-value data products, companies must address culture and mindset shifts and commit to a more cross-functional approach to business domain modeling.įrom the technology side, Oracle’s view on the data mesh involves three important new focus areas for data-driven architecture:
Data mesh aims to improve business outcomes of data-centric solutions as well as drive adoption of modern data architectures.įrom the business point of view, data mesh introduces new ideas around “data product thinking.” In other words, thinking about data as a product that fulfils a “job to be done”, for example, to improve decision-making, help detect fraud or alert the business to changes in supply chain conditions. The idea is to make data more accessible and available to business users by directly connecting data owners, data producers, and data consumers.
A hot topic in enterprise software, data mesh is a new approach to thinking about data based on a distributed architecture for data management.
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