The systems powering the modern world are built on data-and only the architects who understand how data truly flows can build systems that last.
Modern Data Systems is your complete guide to designing scalable, reliable, and intelligent architectures in an era where failure is inevitable, complexity is rising, and data drives every decision.
Instead of chasing trends or tool-specific advice, this book explains the timeless principles that govern all distributed systems: flow design, state management, consistency, scaling models, coordination, observability, and resilience. Through clear explanations and real-world case studies, it shows how to build systems that behave predictably-even at massive scale.
What's Inside the Book
A complete foundation in modern architecture
Learn the principles behind distributed databases, event-driven systems, microservices, and cloud-native platforms.
Scalability explained in practical terms
Understand horizontal vs. vertical scaling, sharding, partitioning, caching, replication, and elasticity-without buzzwords or confusion.
Reliability and resilience, demystified
Discover how real systems handle latency spikes, traffic surges, network partitions, race conditions, and cascading failures.
Modern workloads, clearly defined
OLTP, OLAP, streaming, and machine learning workloads are explained with examples, real-world use cases, and clear decision frameworks.
Event logs and data flows as the backbone of systems
See why modern companies use immutable facts, replay, and event-driven patterns to achieve accuracy and high availability.
A forward-looking view of AI-integrated systems
Understand feature stores, real-time ML pipelines, AI/data symbiosis, and the shift toward intelligent infrastructure.
What You Will Learn
- How to design systems that scale without breaking
- Why data flow thinking is more powerful than endpoint thinking
- How to prevent silent corruption, lost updates, and inconsistent state
- How to model complex domains using state machines and events
- How to choose the right architecture for each workload
- How to diagnose and avoid the most common large-scale failures
- How leading companies design for reliability, observability, and fault tolerance
- How to prepare your systems for future trends in AI and real-time analytics
Who This Book Is For
- Software engineers who want to grow into system designers
- Backend and platform engineers building distributed or cloud-native services
- Data engineers and architects responsible for pipelines, databases, and analytics systems
- Tech leads and engineering managers making architectural decisions
- Students and professionals preparing for system design interviews or advanced engineering roles
- Anyone who wants a deeper, clearer understanding of how modern systems actually work under the hood
This book is suitable for intermediate to advanced readers, but beginners will also benefit from the simple explanations, illustrations, and step-by-step reasoning.
.................
If you want to build systems that are scalable, reliable, and ready for the future, start your journey today with Modern Data Systems.
Get your copy now and level up your architecture skills.
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。
