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



Design and build complex, scalable commercial-grade systems with the Open Prime. Chapter 1 discusses how to build reliable, scalable, and maintainable applications. This framework is a template for design data pipelines with different requirements: such as Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (Apache Samza). Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. Ebook: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems http://ow.ly/Hkg0x. A systematic way of approaching Big Data complex projects. 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. This book compares the fundamental ideas behind a broad variety of systems. Designing Data-Intensive Applications. Amazon.co.jp： Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: Martin Kleppmann: 洋書. Nathan Marz · 4.5 out of 5 stars 21 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. Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Big Data: Principles and best practices of scalable realtime data systems. Av Martin Kleppmann ( häftad , 2016). Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.





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