Software Architecture for Big Data and the Cloud
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- Taschenbuch
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Form:Einzelkauf Download
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Sprache:Englisch
110,00 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
12.06.2017
Herausgeber
Ivan Mistrik + weitereVerlag
Elsevier Science & Techn.Seitenzahl
470 (Printausgabe)
Sprache
Englisch
EAN
9780128093382
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.
- 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
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.
- 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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