Abstract
This chapter dives into business drivers and pain points that we hear in our conversations with enterprises. The business benefits of creating a Data Fabric architecture and also implementing a Data Mesh solution are discussed from the perspective of the technical, primarily data engineering team as well as the business teams consuming the data. We discuss a needed cultural shift related to managing data in an organization that looks at holistic data ownership of data source owners, data engineers, and data consumers.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
See References [1] and [2] for more information on the business impact of COVID-19.
- 2.
See Reference [3] for more information on the impact of climate change on insurers.
- 3.
See Reference [4] for more information on data-related issues and opportunities.
- 4.
See References [5] and [6] for benefits and value propositions of a Data Fabric approach.
- 5.
Please, refer to Chapter 8, where we elaborate on applying AI methods to address these and related issues.
- 6.
See Reference [7] for business benefits of a Data Fabric.
- 7.
See Reference [8] for more benefits of a Data Mesh.
- 8.
See Reference [9] for more information regarding challenges addressed by a Data Mesh.
- 9.
See Reference [10] for more information on building a business value proposition.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature
About this chapter
Cite this chapter
Hechler, E., Weihrauch, M., Wu, Y.(. (2023). Data Fabric and Data Mesh Business Benefits. In: Data Fabric and Data Mesh Approaches with AI. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-9253-2_4
Download citation
DOI: https://doi.org/10.1007/978-1-4842-9253-2_4
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-9252-5
Online ISBN: 978-1-4842-9253-2
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)