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

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by Martin Kleppmann is a detailed textbook published by O’Reilly Media in 2017. Focused on data modeling and design, this 614-page trade paperback offers valuable insights and practical guidance for creating dependable and scalable desktop applications and databases. With a focus on big ideas and real-world applications, this book is a must-have for those interested in making their data-driven systems more efficient and effective.

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

“Designing Data-Intensive Applications” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. This book covers the big ideas behind reliable, scalable, and maintainable systems in the field of data modeling and design. With 614 pages, this trade paperback provides essential information for those interested in designing desktop applications and databases. Author Martin Kleppmann provides valuable insights and expertise in this subject area, making this textbook a valuable resource for students and professionals alike.

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

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by Martin Kleppmann is a textbook published by O’Reilly Media in 2017. The book covers topics related to data modeling and design, as well as desktop applications and databases. With a focus on big ideas behind reliable, scalable, and maintainable systems, this trade paperback book is written in English and spans 614 pages. It provides valuable insights for those interested in computer science and software engineering principles in the context of data-intensive applications.

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