Chapter 5The Need for Modern Data Architectures
In this chapter, we will examine the following:
- The modern data and analytics ecosystem
- Modern data architectures
- The data fabric—a modern architectural approach/pattern
- The data mesh paradigm
- Automation and AI infused
As analytics and AI become more important, the ability to design data environments that are both flexible and governed is becoming increasingly critical. Achieving this balance requires a clear vision for how data flows, is organized, and is made accessible across the enterprise. This chapter explores the structure and design of modern data ecosystems and architectures, introducing foundational concepts and emerging patterns, such as the data fabric and data mesh, that help organizations unify, govern, and scale data access to support both current needs and future innovations.
The Modern Data and Analytics Ecosystem
We’ve been talking about how data supports AI and innovation. But in order to enable this, organizations need a coherent data environment. The purpose of this modern data environment is to help the business run smoothly, support data-driven decision-making, and help drive innovation. This environment should support analytics, AI models, and AI applications, both internal or customer-facing, with the goal of creating positive top and bottom-line impact.
Just as there are biological ecosystems that consist of living and nonliving things that are interconnected, a modern data ecosystem is an interconnected ...
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