Total de visitas: 56592
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


Download 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 Martin Kleppmann
Publisher: O'Reilly Media, Incorporated



How does your database store data on disk reliably? This book compares the fundamental ideas behind a broad variety of systems. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems [Martin Kleppmann] on Amazon.com. 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. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. Designing Data-Intensive Applications. Implementation detail behind a clean, simple-to-understand façade. Ebook: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems http://ow.ly/Hkg0x. 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! 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. A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. A systematic way of approaching Big Data complex projects. In order to design a complete Data Ingestion Architecture and choose the right tools for it, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (Apache Samza). 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 for mac, nook reader for free
Buy and read online Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems book
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems ebook epub mobi pdf zip rar djvu