Designing Data-Intensive Applications

Designing Data-Intensive Applications is a technology reference focused on modern data systems, distributed computing, and scalable application architecture. Written by Martin Kleppmann, this book explores the principles and design considerations behind applications that manage, process, and store large volumes of data.

The publication examines topics related to databases, storage systems, distributed architectures, and data processing technologies. Content is organized to help readers understand how different components of data-driven systems interact to support performance, reliability, and scalability in complex computing environments.

Readers can explore concepts associated with data models, storage engines, replication, partitioning, consistency, fault tolerance, and system reliability. The book also discusses stream processing, batch processing, and architectural approaches used in modern software and data engineering projects.

Suitable for software engineers, system architects, developers, and technology professionals, this resource provides comprehensive coverage of data-intensive application design and distributed system concepts.

Topics Covered

• Data models and database concepts
• Storage engines and data management
• Distributed system architecture
• Replication and partitioning strategies
• Consistency and reliability concepts
• Fault tolerance principles
• Scalable application design
• Stream processing methods
• Batch processing techniques
• Modern data architecture approaches

Product Details

• Author: Martin Kleppmann
• ISBN-13: 9781449373320
• ISBN-10: 1449373321
• Title: Designing Data-Intensive Applications
• Language: English
• Category: Software Engineering
• Subject: Data Architecture and Distributed Systems

Product Type

Software Engineering