Abstract
In this chapter, we investigate additional facets of both concepts that arise specifically from hybrid cloud deployments. We briefly review the term hybrid cloud and how it relates to on-premises. Although cloud services are rated very highly in importance, they nevertheless create new challenges regarding access, integration, and consumption of data and AI assets across the organization. What does Data Fabric architecture and Data Mesh solution mean in the context of a hybrid cloud landscape, and what are the key challenges, for instance, related to addressing data and AI governance and trustworthy AI?
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Notes
- 1.
See Reference [1] for more information on hybrid cloud.
- 2.
See Reference [2] for more information on the cloud lifecycle cost.
- 3.
See Reference [3] for more information on Egeria.
- 4.
See Reference [4] for more information on Data Fabric in a hybrid cloud environment.
- 5.
See Reference [5] for more information on Data Mesh deployments in hybrid cloud environments.
- 6.
See Reference [6] for more KPMG’s vie on Data Mesh for hybrid cloud.
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Hechler, E., Weihrauch, M., Wu, Y.(. (2023). Data Fabric and Data Mesh in a Hybrid Cloud Landscape. In: Data Fabric and Data Mesh Approaches with AI. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-9253-2_12
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DOI: https://doi.org/10.1007/978-1-4842-9253-2_12
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Publisher Name: Apress, Berkeley, CA
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