As data environments expand, organizations must adopt architectures that enable agility, reliable analytics, and adaptable components. This chapter excerpt shows how modular cloud systems and unified batch-and-stream processing can provide a resilient data foundation.
Key insights include:
- Modern data platforms are shifting toward flexible, composable components
- Legacy real-time architectures often create overhead and reconciliation issues
- Stream-first architectures can improve responsiveness but may be expensive to scale
- Unified processing frameworks allow teams to maintain fewer systems with less risk
Download “Designing Good Data Architecture” to learn how to evaluate architectural trade-offs and design systems that support real business needs.
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