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



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


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. 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. Design and build complex, scalable commercial-grade systems with the Open Prime. Price: $28.06; Rating: 0 out of 5 (0 ratings). The Big Ideas Behind Reliable, Scalable, and Maintainable Systems of technologies for processing and storing data (NoSQL, big data, MapReduce, etc). This book compares the fundamental ideas behind a broad variety of systems. 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). A systematic way of approaching Big Data complex projects. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Download Designing Data-Intensive Applications: The Big Ideas Behind Reliable , Scalable, and Maintainable Systems eBook PDF File. Pentaho 5.4 expands on a 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.





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