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Computer Science Textbooks
Modern Systems & Data Engineering
Designing Data-Intensive Applications
2nd Edition · Martin Kleppmann
A focused resource for understanding how computer systems, operating systems, and hardware/software layers work together.
What You’ll Learn
A quick overview of the core skills and concepts covered in this book
- Reliability, scalability, maintainability, and tradeoffs in modern data systems
- Replication, partitioning, transactions, storage engines, and distributed systems
- Batch processing, stream processing, and data integration patterns
- How to evaluate system design decisions for data-heavy applications
Who This Book Is For
- Backend engineers, data engineers, and distributed systems learners
- Developers designing scalable applications
- Students moving from CS theory into real-world data architecture
- Technical professionals comparing databases and data platforms
Inside the Book
- Real-world systems design tradeoffs
- Examples across databases, distributed systems, and data pipelines
- Coverage of reliability, scalability, and maintainability
- Architecture patterns for data-intensive applications
- Useful for backend, cloud, and data engineering study
Why This Book Stands Out
- Highly practical modern systems design perspective
- Excellent explanation of distributed data system tradeoffs
- Connects databases, streams, and architecture decisions
- Strong relevance for backend, cloud, and data engineering roles
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