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

Description: Designing Data-Intensive Applications by Martin Kleppmann 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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.Book features : Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architecturesAbout the AuthorMartin is a researcher in distributed systems at the University of Cambridge. Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. In the process he learned a few things the hard way, and he hopes this book will save you from repeating the same mistakes. Martin is a regular conference speaker, blogger, and open source contributor. He believes that profound technical ideas should be accessible to everyone, and that deeper understanding will help us develop better software. Author Biography Martin Kleppmann is a Senior Software Engineer at LinkedIn. He is a co-founder of Rapportive, a startup that was acquired by LinkedIn. Promotional "Headline" The big ideas behind reliable, scalable and maintainable systems Details ISBN1449373321 ISBN-10 1449373321 ISBN-13 9781449373320 Format Paperback Short Title DESIGNING DATA-INTENSIVE APPLI Language English Media Book Pages 562 Year 2017 Place of Publication Sebastopol Country of Publication United States DEWEY 005.743 Imprint OReilly Media Birth 1860 Death 1937 Affiliation Professor in English Private Law and Fellow and Pro-Vice Chancellor for Education, Faculty of Law, University of Cambridge, and Downing College, Cambridge Position Professor in English Private Law and Fellow and Pro-Vice Chancellor for Education Qualifications M.D. Ph.D. AU Release Date 2017-05-02 NZ Release Date 2017-05-02 US Release Date 2017-05-02 Publication Date 2017-05-02 UK Release Date 2017-05-02 Publisher OReilly Media Audience Professional & Vocational Subtitle Big Ideas Behind Reliable, Scalable, and Maintainable Systems Author Martin Kleppmann We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:102065875;

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

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ISBN-13: 9781449373320

Book Title: Designing Data-Intensive Applications

Author: Martin Kleppmann

Publication Name: Designing Data-Intensive Applications

Format: Paperback

Language: English

Publisher: O'reilly Media, Inc, USA

Subject: Computer Science

Publication Year: 2017

Type: Textbook

Number of Pages: 562 Pages

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