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Designing Data Intensive Systems
Book •
Designing Data-Intensive Applications provides a comprehensive overview of the technical challenges and solutions involved in building reliable, scalable, and maintainable systems.
The book explores various concepts, from basic storage and retrieval to more complex topics like distributed systems, consistency, and fault tolerance.
It examines different data models, including relational, document, and graph databases, and discusses their strengths and weaknesses.
Kleppmann delves into the trade-offs involved in designing data-intensive applications, offering practical advice and real-world examples.
This book is an essential resource for anyone involved in building and operating data infrastructure.
The book explores various concepts, from basic storage and retrieval to more complex topics like distributed systems, consistency, and fault tolerance.
It examines different data models, including relational, document, and graph databases, and discusses their strengths and weaknesses.
Kleppmann delves into the trade-offs involved in designing data-intensive applications, offering practical advice and real-world examples.
This book is an essential resource for anyone involved in building and operating data infrastructure.
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Mentioned in 1 episodes
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Oz Katz
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914: Data Lakes 101 (and Why They’re Key for AI Models), with Oz Katz
