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. 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
ISBN: 9781449373320 | 500 pages | 13 Mb


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



A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. 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. Â�ベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. Â�ベント日時, 2016年1月25日(月). Nathan Marz · 4.5 out of 5 stars 21 Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. Big Data: Principles and best practices of scalable realtime data systems. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Video Designing Data Intensive Applications The Big Ideas Behind Reliable Scalable and Maintainable System Computer science. Implementation detail behind a clean, simple-to-understand façade. Reviews and review ratings for Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems at Amazon.com. Pentaho 5.4 expands on a Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.





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