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. This trade paperback book covers the subject of data modeling and design for desktop applications and databases. With 614 pages, it provides in-depth insights on creating efficient and robust data-intensive applications. Written in English, this book is a valuable resource for those interested in understanding the fundamental principles behind dependable and scalable systems.
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. This trade paperback book covers the subject of data modeling and design for desktop applications and databases. With 614 pages, it provides in-depth insights on creating efficient and robust data-intensive applications. Written in English, this book is a valuable resource for those interested in understanding the fundamental principles behind dependable and scalable systems.
DESIGNING DATA-INTENSIVE APPLICATIONS: THE BIG IDEAS BEHIND REL… Martin Kleppm
Please Note: All photos in our listings are stock photos unless stated differently. This item will ship internationally, please take note of the shipping time displayed by eBay. If you are located in the US or UK, international orders will be forwarded to our warehouse in your country before final delivery to you, and tracking will not start updating until your order has reached your country. Thank you for supporting my family business.
DESIGNING DATA-INTENSIVE APPLICATIONS: THE BIG IDEAS BEHIND REL… Martin Kleppm
Please Note: All photos in our listings are stock photos unless stated differently. This item will ship internationally, please take note of the shipping time displayed by eBay. If you are located in the US or UK, international orders will be forwarded to our warehouse in your country before final delivery to you, and tracking will not start updating until your order has reached your country. Thank you for supporting my family business.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Kleppmann, Martin Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less
Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Kleppmann, Martin Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less
Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Kleppmann, Martin May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less
Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Kleppmann, Martin May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less
Designing Data-Intensive Applications (Paperback) 1st E/d
What are the right choices for your application?. How do you make sense of all these buzzwords?. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
Designing Data-Intensive Applications (Paperback) 1st E/d
What are the right choices for your application?. How do you make sense of all these buzzwords?. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.