Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
Publisher: O'Reilly Media, Incorporated

Â�ベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. Designing Data-Intensive Applications. Â�ベント日時, 2016年1月25日(月). Amazon.co.jp： Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: Martin Kleppmann: 洋書. How does your database store data on disk reliably? Implementation detail behind a clean, simple-to-understand façade. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Drawing from the experience of building scalable systems at LinkedIn and other startups, this talk explores why logs are such a fine idea: making it easier to maintain search Designing Data-Intensive Applications Big surprise: they use a log!