About the Author
Martin Kleppmann
ISBN 9789352135240
Rs. 2,800
O'Reilly Media
Designing Data-Intensive Applications
Who it's for: software engineers, architects, and data professionals
Designing Data-Intensive Applications by Martin Kleppmann guides software engineers, architects, and data professionals in building scalable, reliable, and maintainable data systems. It delves into the fundamentals of distributed systems, database architectures, and modern data processing techniques, explaining complex concepts like replication, partitioning, transactions, consistency models, and stream processing with clarity.Why You Should Read? Provides a deep understanding of how modern databases, distributed systems, and data pipelines work. Covers crucial topics like scalability, consistency, fault tolerance, and performance optimization. Explains trade-offs between different technologies, such as SQL vs. NoSQL databases. Features real-world case studies from companies like Google, Amazon, and LinkedIn.
Highlights
- Explains replication, partitioning, transactions, and consistency models
- Covers stream processing and modern data pipeline techniques
- Discusses trade-offs between SQL and NoSQL databases
- Includes real-world case studies from Google, Amazon, and LinkedIn
Themes
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Sign inQuestions about this book
What topics does this book cover?
It covers distributed systems, database architectures, and data processing, including replication, partitioning, transactions, consistency models, and stream processing.
Is this book suitable for beginners?
It is aimed at software engineers, architects, and data professionals, so it assumes some background in software development and databases.
Does the book compare different database technologies?
Yes, it explains trade-offs between technologies such as SQL and NoSQL databases.
Are there real-world examples?
Yes, it features case studies from companies like Google, Amazon, and LinkedIn.