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A comprehensive guide to designing data‑intensive applications that scale reliably and remain maintainable. The illustrated paperback presents practical patterns and architectural ideas for building robust data systems, covering topics such as data models, storage, movement, consistency, and fault tolerance. It emphasizes clear trade‑offs, design choices, and real‑world considerations to help engineers craft resilient, scalable software. With detailed explanations and concrete examples, the book aims to equip practitioners with strategies for handling large volumes of data, complex workflows, and evolving requirements over time.
| Pages | 614 |
| Edition | Illustrated |
| Format | Paperback |