Data Intensive Systems

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Designing Data-Intensive Applications

Designing Data-Intensive Applications
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 658
Release :
ISBN-10 : 9781491903100
ISBN-13 : 1491903104
Rating : 4/5 (104 Downloads)

Book Synopsis Designing Data-Intensive Applications by : Martin Kleppmann

Download or read book Designing Data-Intensive Applications written by Martin Kleppmann and published by "O'Reilly Media, Inc.". This book was released on 2017-03-16 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 buzzwords? In 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 effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures


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Designing Data-Intensive Applications
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Authors: Martin Kleppmann
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This text represents a breakthrough in the process underlying the design of the increasingly common and important data-driven Web applications.
Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management
Language: en
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Authors: Kosar, Tevfik
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"This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed
Handbook of Data Intensive Computing
Language: en
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Authors: Borko Furht
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Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies.