Designing Data-Intensive Applications

In an era dominated by massive data flows and increasingly complex systems, understanding how to design applications that handle data efficiently and reliably is essential for modern engineers and architects. This book by Martin Kleppmann offers a deep dive into the principles, trade-offs, and architectures underpinning data-intensive applications, providing invaluable insights for anyone tasked with building scalable, maintainable, and robust systems.

• Data models and query languages matter: Choosing the right data model (relational, document, graph) profoundly influences application behavior and performance.
• Storage and retrieval involve complex trade-offs: Understanding storage engines, indexing, and data structures is...

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