March 2027
Intermediate to advanced
350 pages
3h 56m
English
Content preview from Data Architecture for Software Architects
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Chapter 1. Why data architecture matters
Modern software systems are built on a foundation of data, but rarely is that foundation deliberate. What starts as a single database powering a small application can evolve into a patchwork of services, sources, pipelines, and platforms. In this landscape, data architecture is not just an implementation concern, it is a strategic capability. When done well, it enables performance, resilience, regulatory compliance, and business agility. When neglected, it becomes a silent drag on progress.
This book makes the case for treating data architecture as a first-class concern in software and platform design. We’ll explore why software teams, particularly architects and senior engineers must go beyond code and APIs to think deeply about how data is modeled, moved, governed, and scaled. Data choices shape everything from customer experience to reporting integrity to regulatory exposure.
To ground this discussion in real-world complexity, we’ll introduce Penultimate ...
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