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Designing Data-Intensive Applications: The Big
Designing Data-Intensive Applications: The Big

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



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

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


Amazon.co.jp: Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: Martin Kleppmann: 洋書. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! 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. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Big Data: Principles and best practices of scalable realtime data systems. Download Designing Data-Intensive Applications: The Big Ideas Behind Reliable , Scalable, and Maintainable Systems eBook PDF File. Av Martin Kleppmann ( häftad , 2016). Large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. This book compares the fundamental ideas behind a broad variety of systems. How does your database store data on disk reliably? Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. Fishpond Australia, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.