Summary

In this chapter, we have summarized 16 best practices in data management relating to the IT industry. We have recapped best practices across four categories: Data Strategy, Data Architecture, Data Integration and Self-Service, and Data Governance. Each category represents the top best practices that are baked into a Data Fabric architecture. The goals of Data Fabric architecture are to deliver high-quality, governed, protected, and secure data in a high-scale and frictionless manner. Figure 10.1 depicts a logical Data Fabric architecture covered in Chapter 8, Designing Data Integration and Self-Service.

Figure 10.1 – Logical Data Fabric architecture

This concludes the book. You should now have a deeper understanding of and appreciation for Data Fabric architecture. You can comprehend how it can be used together with other architectures and frameworks, the tremendous value statement it offers, its flexible nature, and its ability to support...