Designing Data-Intensive Applications
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Product Details:
Title: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Author: Martin Kleppmann
ISBN-13: 9781449373320
ISBN-10: 1449373321
Publisher: O'Reilly Media
Binding: Paperback
No of Pages: 611
Language: English
Publisher Date: 02 May 2017
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Designing Data-Intensive Applications
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 1st Edition
$39.90
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Detailed Overview:
Designing Data-Intensive Applications by Martin Kleppmann is an essential guide for software engineers, backend developers, and system architects who want to understand the principles behind scalable and reliable modern applications. The book explains how large-scale systems manage massive amounts of data while maintaining performance, consistency, and fault tolerance.
Instead of focusing on specific programming languages or tools, the author emphasizes core engineering concepts used across distributed systems, cloud platforms, databases, and data-processing technologies. Readers gain practical insights into replication, partitioning, storage engines, distributed transactions, stream processing, and system reliability.
The book is widely appreciated for its clear explanations and real-world examples drawn from modern internet-scale companies. It helps readers understand the trade-offs involved in designing distributed architectures and selecting the right technologies for different workloads.
Ideal for developers, DevOps engineers, data engineers, and technology professionals, this book serves as both a learning resource and a long-term reference for building maintainable and scalable software systems in real-world environments.
Product Details:
Title: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Author: Martin Kleppmann
ISBN-13: 9781449373320
ISBN-10: 1449373321
Publisher: O'Reilly Media
Binding: Paperback
No of Pages: 611
Language: English
Publisher Date: 02 May 2017
This book explores the architecture and design principles behind modern data-intensive applications. It covers key topics such as data storage, indexing, replication, partitioning, transactions, distributed systems, batch processing, and stream processing.
Martin Kleppmann explains how different database technologies and distributed architectures function internally while highlighting the strengths and limitations of each approach. The book also discusses important concepts like scalability, consistency, fault tolerance, and reliability in large-scale systems.
Rather than promoting a single technology stack, the book focuses on timeless concepts that help engineers make informed technical decisions. It is highly useful for professionals involved in backend development, cloud computing, data engineering, and scalable application design.
Martin Kleppmann is a respected software engineer, researcher, and educator specializing in distributed systems and data infrastructure. He is an Associate Professor at the University of Cambridge and is widely known for simplifying complex technical concepts for developers and engineers. His expertise in scalable system architecture and modern data technologies has made him a recognized voice in the software engineering community.
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