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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 by 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 book

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


Big Data: Principles and best practices of scalable realtime data systems. A systematic way of approaching Big Data complex projects. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! This book compares the fundamental ideas behind a broad variety of systems. Nathan Marz · 4.5 out of 5 stars 21 Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. 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). 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. Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. How does your database store data on disk reliably?





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