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. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. Av Martin Kleppmann ( häftad , 2016). Chapter 1 discusses how to build reliable, scalable, and maintainable applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Implementation detail behind a clean, simple-to-understand façade. 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 (Paperback). Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Pentaho 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 Maintainable Systems Kleppmann Martin. How does your database store data on disk reliably? Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Pentaho 5.4 expands on a Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Designing Data-Intensive Applications. Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. 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: The Big Ideas Behind Reliable, Scalable, and The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Practical Object Oriented Design in Ruby by Sandi Metz is a fun read packed with good principles for working in Designing Data-Intensive Applications. 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!





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