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size
24 x 18 x 1 cm
Product Information
Ideal For
General Readers, Fiction Lovers, Mythology & Historical Fiction Readers, Indian Mythology Enthusiasts, Young Adults (YA) & Adults, College Students, Competitive Exam Aspirants (General Reading / Culture), Gift Purpose (Books Gift Set), Spiritual & Philosophy Interest Readers, Library / Book Collection Buyers
Country Of Origin
India
About Author
Martin Kleppmann Is A Researcher In Distributed Systems And Security At The University Of Cambridge, And Author Of Designing Data-Intensive Applications (O'Reilly Media, 2017). Previously He Was A Software Engineer And Entrepreneur At Internet Companies Including Linkedin And Rapportive, Where He Worked On Large-Scale Data Infrastructure. He Is Now Working On Trve Data, A Project That Aims To Bring End-To-End Encryption And Decentralisation To A Wide Range Of Applications.
Author Name
Martin Kleppmann
Genre
Computer Science
No Of Pages
616
Publisher
O'Reilly Media
Isbn Code
978-9352135240 (Isbn Code), 978-9352135240 (Isbn Code)
Product Description
- Book Overview: All Indian Reprints of O'Reilly are printed in Grayscale; data is at the center of many challenges in system design today, and this practical and comprehensive guide helps readers navigate that landscape.
- Core Topics: Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability, alongside an overwhelming variety of tools including relational databases, NoSQL datastores, stream or batch processors, and message brokers.
- Author's Approach: Author Martin Kleppmann helps readers navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data, with the understanding that software keeps changing but the fundamental principles remain the same.
- Ideal For: Designed for software engineers and technical practitioners who need to make sound architectural decisions about data systems in modern application development.
- Product Details: This paperback edition spans 616 pages, carries ISBN 978-9352135240, falls within the Computer Science genre, and is published under the Books Kingdom imprint.
- Versatile Occasion: A valuable addition to any software engineer's library, equally suited to professional reference, academic study, or gifting to a developer seeking foundational knowledge in data-intensive systems.