Designing Data Intensive Applications The Big Ideas Behind Reliable Scalable #L5

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Explore the world of data-intensive applications with Martin Kleppmann's “Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems”. This textbook published by O'Reilly, Inc. in 2017 is a treasure trove for anyone interested in designing and developing data-intensive applications. With 614 pages of in-depth analysis and practical insights, this trade paperback provides a comprehensive understanding of the big ideas behind reliable, scalable, and maintainable systems. Whether you're a beginner or an experienced practitioner, this book will equip you with the necessary tools and knowledge to design data-intensive applications that meet your business needs.

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

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“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. Focusing on the subject area of computers, this trade paperback book covers data modeling and design, as well as desktop applications and databases. With 614 pages, this book provides in-depth insights and practical guidance on designing data-intensive applications that are not only reliable but also scalable and maintainable. A valuable resource for anyone seeking to deepen their understanding of big data and the challenges of building complex systems.

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…

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“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. This trade paperback book delves into the subject area of data modeling and design, focusing on desktop applications and databases. With a length of 9.2 inches, height of 1.5 inches, and width of 6.9 inches, this 614-page book offers valuable insights and guidance for designing data-intensive applications. Written in English and originating from India, this textbook is a valuable resource for those interested in building reliable and scalable systems.