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Software Architecture for Big Data and the Cloud

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Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity.

The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors.

Key Features :
- Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques
- Presents case studies involving enterprise, business, and government service deployment of big data applications
- Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data

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Availability

Detail Information

Series Title

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Call Number

005.1 MIS s

Publisher

Cambridge, MA : MK Publishers., 2017

Collation

xxxviii+19x23,5cm

Language

English

ISBN/ISSN

978-0-12-805467-3

Classification

005.1

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Big Data
Software Engineering
Software Architecture
Cloud

Specific Detail Info

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Statement of Responsibility

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