Abstract
Any data architecture, and therefore also our Data Fabric architecture, needs to be looked at in conjunction with the implemented application architecture in an existing enterprise landscape. Many organizations are in the process to modernize and digitalize their application and data landscape. Applications have different requirements with respect to data characteristics, which may recommend a particular data architecture implementation over another, for example, characterized by data access based on data virtualization or data replication and transformation.
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.
Please, recall Chapter 3, where we have listed the relevance of those components for specific use cases.
- 2.
See Reference [1] for more details on the enterprise architecture framework from NIST.
- 3.
See Reference [2] for more information on enterprise architecture management.
- 4.
SEPA stands for Single Euro Payments Area.
- 5.
HIPAA stands for Health Insurance Portability and Accountability Act.
- 6.
See Reference [3] for more information on weaving in a Data Fabric into a multicloud environment.
- 7.
See Reference [4] for more information on microservices architectural patterns.
- 8.
See Reference [5] for more information on the CAP (consistency, availability, partition tolerance) and eventual consistency.
- 9.
See Reference [6] for more information on AI for integrated learning, reasoning, and optimization.
- 10.
See Reference [7] for more on data virtualization and computational mesh in IBM Cloud Pak for Data.
- 11.
See Reference [8] for more information on IBM Cloud Pak for Data.
- 12.
See Reference [9] for more information on using cloud deployments for analytical insight.
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 Within an Enterprise Architecture. In: Data Fabric and Data Mesh Approaches with AI. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-9253-2_11
Download citation
DOI: https://doi.org/10.1007/978-1-4842-9253-2_11
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)