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Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (2017, Trade Paperback)

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Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1449373321
ISBN-13
9781449373320
eBay Product ID (ePID)
205614152

Product Key Features

Number of Pages
614 Pages
Publication Name
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Language
English
Subject
Data Modeling & Design, Desktop Applications / Databases
Publication Year
2017
Type
Textbook
Subject Area
Computers
Author
Martin Kleppmann
Format
Trade Paperback

Dimensions

Item Height
1.3 in
Item Weight
36.5 Oz
Item Length
9.3 in
Item Width
7.9 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2017-471021
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.7
Synopsis
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
LC Classification Number
QA76.76.A65

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