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Designing data-intensive application...

Kleppmann, Martin.

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Designing data-intensive applications :/ Martin Kleppmann.
其他題名:	the big ideas behind reliable, scalable, and maintainable systems /
作者:	Kleppmann, Martin.
出版者:	Sebastopol :O'Reilly Media, : c2017.,
面頁冊數:	xix, 590 p. :ill., maps ; : 24 cm.;
標題:	Web site development. -
ISBN:	9781449373320 (pbk.) :

Designing data-intensive applications : = the big ideas behind reliable, scalable, and maintainable systems /
Kleppmann, Martin.

Designing data-intensive applications :the big ideas behind reliable, scalable, and maintainable systems /Martin Kleppmann. - 1st ed. - Sebastopol :O'Reilly Media,c2017. - xix, 590 p. :ill., maps ;24 cm.

Includes bibliographical references and index.

Part 1. Foundations of data systems. Reliable, scalable, and maintainable applications -- Data models and query languages -- Storage and retrieval -- Encoding and evolutuion -- Part 2. Distributed data. Replication -- Partitioning -- Transactions -- The trouble with distributed systems -- Consistency and consensus -- Part 3. Derived data. Batch processing -- Stream processing -- The future of data 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 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.

ISBN: 9781449373320 (pbk.) :NT1776

LCCN: 2017471021Subjects--Topical Terms:

563685
Web site development.

LC Class. No.: QA76.76.A65 / K612 2017

Dewey Class. No.: 005.7

Designing data-intensive applications : = the big ideas behind reliable, scalable, and maintainable systems /
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520 # $a 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.
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