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Martin Kleppmann

Designing Data-Intensive Applications : The Big Ideas Behind Reliable PB

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“Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB” is a textbook written by Martin Kleppmann and published by O’Reilly Media, Incorporated in 2017. The book covers subjects such as data modeling and design, as well as desktop applications and databases. It is a trade paperback format, written in English, and has dimensions of 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height, with a weight of 36.3 ounces. This book is a valuable resource for those interested in designing and building reliable data-intensive applications.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable PB

0

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB” is a textbook written by Martin Kleppmann and published by O’Reilly Media, Incorporated in 2017. The book covers subjects such as data modeling and design, as well as desktop applications and databases. It is a trade paperback format, written in English, and has dimensions of 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height, with a weight of 36.3 ounces. This book is a valuable resource for those interested in designing and building reliable data-intensive applications.

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

0

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable Systems” by Martin Kleppmann is a comprehensive textbook on the subject of designing and engineering data-intensive applications. Published by O’Reilly, this book covers various topics related to computer science, education, and information science. With a focus on designing, engineering, and technology, this book is suitable for beginners, intermediate, and advanced levels of understanding. The 1st edition features 616 pages of informative content in English, making it a valuable resource for students and professionals in the field.

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

0

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable Systems” by Martin Kleppmann is a comprehensive textbook on the subject of designing and engineering data-intensive applications. Published by O’Reilly, this book covers various topics related to computer science, education, and information science. With a focus on designing, engineering, and technology, this book is suitable for beginners, intermediate, and advanced levels of understanding. The 1st edition features 616 pages of informative content in English, making it a valuable resource for students and professionals in the field.

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

0

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable Systems” by Martin Kleppmann is a comprehensive textbook on the subject of designing and engineering data-intensive applications. Published by O’Reilly, this book covers various topics related to computer science, education, and information science. With a focus on designing, engineering, and technology, this book is suitable for beginners, intermediate, and advanced levels of understanding. The 1st edition features 616 pages of informative content in English, making it a valuable resource for students and professionals in the field.

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

0

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable Systems” by Martin Kleppmann is a comprehensive textbook on the subject of designing and engineering data-intensive applications. Published by O’Reilly, this book covers various topics related to computer science, education, and information science. With a focus on designing, engineering, and technology, this book is suitable for beginners, intermediate, and advanced levels of understanding. The 1st edition features 616 pages of informative content in English, making it a valuable resource for students and professionals in the field.

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

0

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable Systems” by Martin Kleppmann is a comprehensive textbook on the subject of designing and engineering data-intensive applications. Published by O’Reilly, this book covers various topics related to computer science, education, and information science. With a focus on designing, engineering, and technology, this book is suitable for beginners, intermediate, and advanced levels of understanding. The 1st edition features 616 pages of informative content in English, making it a valuable resource for students and professionals in the field.

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

0

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable Systems” by Martin Kleppmann is a comprehensive textbook on the subject of designing and engineering data-intensive applications. Published by O’Reilly, this book covers various topics related to computer science, education, and information science. With a focus on designing, engineering, and technology, this book is suitable for beginners, intermediate, and advanced levels of understanding. The 1st edition features 616 pages of informative content in English, making it a valuable resource for students and professionals in the field.

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

0

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable Systems” by Martin Kleppmann is a comprehensive textbook on the subject of designing and engineering data-intensive applications. Published by O’Reilly, this book covers various topics related to computer science, education, and information science. With a focus on designing, engineering, and technology, this book is suitable for beginners, intermediate, and advanced levels of understanding. The 1st edition features 616 pages of informative content in English, making it a valuable resource for students and professionals in the field.

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