Anderson’s Atlas of Hematology 3rd. Rd. W/ Code. Shauna Anderson
Anderson's Atlas of Hematology 3rd. Rd. W/ Code. Shauna Anderson
Designing Data-Intensive Applications: the Big Ideas behind Reliable, Scalable,
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 : The Big Ideas Behind Reliable, Scalable,
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
This textbook is the one I used for my final year project research.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
You will find that this textbook has a companion website with extra resources.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
Condition Notes: This books is in Very good condition.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
Classification Notes : Oversized. Clean text -- NO writing, NO highlighting to text. NO international orders. Product Category : Books. 30 pages in the early chapters of this 596 pages features highlighting.
Designing Data-Intensive Applications
ISBN: 9781449373320. Condition: very_good.
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 comprehensive textbook that covers the subject of data modeling and design for desktop applications and databases. Published by O'Reilly Media in 2017, this paperback book has 614 pages and is written in English. The book explores the concepts of reliability, scalability, and maintainability in the design of data-intensive applications, making it a valuable resource for computer science and technology students, as well as professionals in the field. With detailed insights and practical advice, this book provides a solid foundation for building robust and efficient systems.
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