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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann

• Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
• Martin Kleppmann
• Page: 500
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781449373320
• Publisher: O'Reilly Media, Incorporated

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Using logs to build a solid data infrastructure (or: why - Confluent How does your database store data on disk reliably? large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! Designing Data-Intensive Applications — an O'Reilly book by Martin Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. This book compares the fundamental ideas behind a broad variety of systems. Designing Data-Intensive Applications: The Big Ideas Behind Libri PDF scaricabili Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems libri in pdf da scaricare gratis  Designing Data Intensive Applications The Big Ideas Behind Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Author: Martin Kleppmann Publisher: O'Reilly  Designing Data-Intensive Applications (豆瓣) 图书Designing Data-Intensive Applications 介绍、书评、论坛及推荐. 副标题: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 出版年:  Designing.Data-Intensive.Applications - 下载频道- CSDN.NET Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Want to know how the best  Embedded Analytics eBook - Pentaho Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Type: eBook. Product: Data Integration, Big Data  Designing Data-Intensive Applications: The Big Ideas Behind It looks at examples of successful data systems and discusses their key algorithms, basic Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Chapter 1: Reliable, Scalable, and Maintainable Applications Designing Data-intensive Applications: The Big Ideas Behind イベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. イベント日時, 2016年1月25日(月). Big Data AnalyticseBook Resources in Resources | Pentaho | Page 1 Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Type: eBook. Product: Data Integration, Big Data  Designing Data-Intensive Applications - Download eBook PDF Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. by Martin Kleppmann. Year: 2015. Pages: 144. Ruby Rogues: 207 Rebuilding Rails with Noah Gibbs - DevChat.TV Designing Data-Intensive Applications The Big Ideas Behind Reliable, Scalable, and Maintainable Systems By Martin Kleppmann · Aphyr 

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