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Designing Data-Intensive Applications: A Guide to Scalable Data Systems
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann is an English-language computer science...
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Designing Data-Intensive Applications: A Guide to Scalable Data Systems
Tk 55.95
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann is an English-language computer science and software engineering reference published by O'Reilly Media.
This comprehensive technical guide examines the underlying principles, trade-offs, and architecture behind modern data storage and processing systems. The book dives deep into how databases, microservices, and distributed systems handle key challenges such as data consistency, scalability, fault tolerance, and high availability.
Divided into three foundational parts—Foundations of Data Systems, Distributed Data, and Derived Data—the text explores relational vs. NoSQL data models, storage engines, B-trees, LSM-trees, replication strategies, partitioning/sharding, consensus protocols, transactions, as well as batch and stream processing architectures.
Suitable for software engineers, systems architects, data platform engineers, site reliability engineers (SREs), and computer science students, this book serves as an essential manual for building robust, large-scale computing systems.
Topics Covered
- Fundamental data models (Relational, Document, Graph) and query languages
- Storage engine internals (B-Trees, Log-Structured Merge-trees/LSM-trees)
- Replication strategies (Single-leader, Multi-leader, Leaderless) and fault tolerance
- Partitioning, sharding, and distributed transaction protocols
- Consistency models, linearizability, and consensus algorithms (Raft, Paxos)
- Batch processing frameworks and real-time stream processing architectures
Product Details
- Author: Martin Kleppmann
- Publisher: O'Reilly Media
- Title: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- Format: Paperback
- ISBN-13: 9781449373320
- ISBN-10: 1449373321
- Category: Computer Science / Software Engineering
- Subject: Data Architecture and Distributed Systems
- Language: English
Product Type
Software Engineering & Distributed Systems Technical Book