Designing data-intensive applications: the big ideas behind reliable, scalable, and maintainable systems

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 mainteinability. In addition, we have an overwhelming variet of tools, including relational databases, NoSQL datastores, stream or...

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Bibliographic Details
Main Author: Kleppmann, Martin (Author)
Format: Electronic eBook
Language:English
Published: Sebastopol, CA O'Reilly Media 2017
Subjects:
Links:https://learning.oreilly.com/library/view/-/9781491903063/?ar
Summary: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 mainteinability. In addition, we have an overwhelming variet 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 gjuide, 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.
Item Description:Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, viewed March 21, 2017)
Physical Description:1 Online-Ressource (xix, 590)
ISBN:9781491903117
1491903112
9781491903100
1491903104
9781491903063
1491903066