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{ "item_title" : "NoSQL Mastery for Backend Developers and Software Engineers", "item_author" : [" Carl Chatson "], "item_description" : "Modern applications demand databases that scale horizontally, handle massive traffic spikes, and remain resilient under failure. NoSQL Mastery for Backend Developers and Software Engineers is a practical, engineering-focused guide to designing scalable, distributed databases for real-world systems.Instead of treating NoSQL as a trend, this book explains why distributed data systems became essential and how to design them correctly. You'll learn the core principles behind horizontal scaling, replication, sharding, partition tolerance, and eventual consistency-so you can confidently build high-performance backends for modern applications, SaaS platforms, fintech systems, and data-intensive services.This is not theory-heavy academia. It's architecture-driven, production-aware guidance for engineers who need systems that work under pressure.What Makes This Book Different?Most NoSQL books focus on a single database. This book focuses on design thinking.You'll learn how distributed systems behave under load, how trade-offs like CAP and consistency models affect architecture, and how to choose the right data model for your workload. Instead of tool worship, you gain transferable engineering insight that applies across document stores, key-value systems, column-family databases, and graph databases.Clear diagrams, practical scenarios, and backend-focused examples ensure you understand not just what to implement-but why.Inside the BookThe evolution from relational systems to distributed NoSQL architectureData modeling strategies for document, key-value, column, and graph databasesReplication, partitioning, and sharding strategiesCAP theorem, consistency models, and real-world trade-offsPerformance optimization and indexing strategiesHandling failures, fault tolerance, and high availabilityScaling strategies for cloud-native and microservices environmentsProduction-ready architectural patternsWho Is This Book For?Backend developers building scalable APIsSoftware engineers designing distributed systemsDevOps engineers managing high-availability infrastructureTechnical leads making database architecture decisionsComputer science students transitioning into real-world system designIf you work on modern applications and need databases that won't collapse under growth, this book is for you.Stop guessing. Start architecting.If you're ready to design scalable, distributed databases with confidence-and build backend systems that survive real-world scale-NoSQL Mastery for Backend Developers and Software Engineers belongs on your desk.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/824/855/9798248550029_b.jpg", "price_data" : { "retail_price" : "14.89", "online_price" : "14.89", "our_price" : "14.89", "club_price" : "14.89", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
NoSQL Mastery for Backend Developers and Software Engineers|Carl Chatson

NoSQL Mastery for Backend Developers and Software Engineers : Designing Scalable, Distributed Databases for Modern Applications

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Overview

Modern applications demand databases that scale horizontally, handle massive traffic spikes, and remain resilient under failure. NoSQL Mastery for Backend Developers and Software Engineers is a practical, engineering-focused guide to designing scalable, distributed databases for real-world systems.

Instead of treating NoSQL as a trend, this book explains why distributed data systems became essential and how to design them correctly. You'll learn the core principles behind horizontal scaling, replication, sharding, partition tolerance, and eventual consistency-so you can confidently build high-performance backends for modern applications, SaaS platforms, fintech systems, and data-intensive services.

This is not theory-heavy academia. It's architecture-driven, production-aware guidance for engineers who need systems that work under pressure.

What Makes This Book Different?

Most NoSQL books focus on a single database. This book focuses on design thinking.

You'll learn how distributed systems behave under load, how trade-offs like CAP and consistency models affect architecture, and how to choose the right data model for your workload. Instead of tool worship, you gain transferable engineering insight that applies across document stores, key-value systems, column-family databases, and graph databases.

Clear diagrams, practical scenarios, and backend-focused examples ensure you understand not just what to implement-but why.

Inside the Book

  • The evolution from relational systems to distributed NoSQL architecture
  • Data modeling strategies for document, key-value, column, and graph databases
  • Replication, partitioning, and sharding strategies
  • CAP theorem, consistency models, and real-world trade-offs
  • Performance optimization and indexing strategies
  • Handling failures, fault tolerance, and high availability
  • Scaling strategies for cloud-native and microservices environments
  • Production-ready architectural patterns

Who Is This Book For?

  • Backend developers building scalable APIs
  • Software engineers designing distributed systems
  • DevOps engineers managing high-availability infrastructure
  • Technical leads making database architecture decisions
  • Computer science students transitioning into real-world system design

If you work on modern applications and need databases that won't collapse under growth, this book is for you.

Stop guessing. Start architecting.

If you're ready to design scalable, distributed databases with confidence-and build backend systems that survive real-world scale-NoSQL Mastery for Backend Developers and Software Engineers belongs on your desk.

This item is Non-Returnable

Details

  • ISBN-13: 9798248550029
  • ISBN-10: 9798248550029
  • Publisher: Independently Published
  • Publish Date: February 2026
  • Dimensions: 9.21 x 6.14 x 0.43 inches
  • Shipping Weight: 0.64 pounds
  • Page Count: 202

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