Free Ebook Designing Data-Intensive Applications The Big Ideas Behind Reliable Scalable and Maintainable Systems

[Read.v5lN] Designing Data-Intensive Applications The Big Ideas Behind Reliable Scalable and Maintainable Systems

[Read.v5lN] Designing Data-Intensive Applications The Big Ideas Behind Reliable Scalable and Maintainable Systems

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Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application How do you make sense of all these buzzwordsIn this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures - YES24 off yes24 Complete Technical Terminology / PC / SAN / NAS / HDTV Complete Technical Acronyms Glossary & Definitions for PC SAN NAS QA Testing HDTV Wireless Linux Embedded Networks Video Digital pharma Unix Video Archived Webinars - Xtalks Site Reliability Engineering: How Google Runs Production Buy Site Reliability Engineering: How Google Runs Production Systems on FREE SHIPPING on qualified orders R Machine Learning By Example - Free eBooks Download Ebooks related to "R Machine Learning By Example" : From Social Data Mining and Analysis to Prediction and Community Detection Designing Data-Intensive Applications Designing Data-Intensive Applications (DDIA) an OReilly Compare several designs This book compares the fundamental ideas behind a broad variety of systems It doesnt go into the details of how to configure and use Building Microservices: Designing Fine-Grained Systems Building Microservices: Designing Fine-Grained Systems [Sam Newman] on *FREE* shipping on qualifying offers Distributed systems have become more fine
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