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

Description: DESCRIPTION: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. 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. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures Normal 0 false false false EN-US X-NONE X-NONE

Price: 25.37 USD

Location: DELHI, DELHI

End Time: 2024-09-15T16:04:12.000Z

Shipping Cost: 3.5 USD

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

Item Specifics

Return shipping will be paid by: Seller

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

Refund will be given as: Money Back

Subject Area: Data Analysis, Data Design

Publication Name: Designing Data-Intensive Applications : The Big Ideas Behind Reli

Item Length: 9.1in

Publisher: O'reilly Media, Incorporated

Subject: Computer Science, Designing

Publication Year: 2017

Type: Textbook

Language: English

Item Height: 1.2in

Educational Level: Adult & Further Education

Personalized: No

Author: Martin Kleppmann

Level: Advanced, Proficiency

Country/Region of Manufacture: United States

Item Width: 7in

Item Weight: 35.6 Oz

Number of Pages: 614 Pages

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