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

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



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

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann ebook
ISBN: 9781449373320
Page: 500
Publisher: O'Reilly Media, Incorporated
Format: pdf


Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. Designing Data-Intensive Applications. This book compares the fundamental ideas behind a broad variety of systems. How does your database store data on disk reliably? Large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. [Free] Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Implementation detail behind a clean, simple-to-understand façade. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Drawing from the experience of building scalable systems at LinkedIn and other startups, this talk explores why logs are such a fine idea: making it easier to maintain search Designing Data-Intensive Applications Big surprise: they use a log!





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