Martin Kleppmann Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

 

Designing Data-Intensive Applications | Martin Kleppmann | The Enormous Thoughts Behind Solid, Versatile, and Viable Systems

Build cutting edge frameworks that are strong, versatile, and planned for the future of data.

In this fundamental direct for program engineers and planners, Martin Kleppmann demystifies the key standards behind high-performance, data-intensive frameworks. Covering everything from databases and disseminated frameworks to stream preparing and consistency models, this book makes a difference you plan applications that can handle real-world demands.

🧠 Center points include:
✔ Information models, inquiry dialects, and capacity engines
✔ Dispersed framework plan: replication, dividing, and consistency
✔ Blame resilience, versatility, and maintainability
✔ Group and stream information handling architectures

With clear clarifications and real-world cases, Planning Data-Intensive Applications is a go-to reference for building dependable frameworks that scale effectively.

Perfect for program designers, information engineers, and anybody working on large-scale backend foundation or dispersed applications.
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