Software Architecture for Big Data and the Cloud

Nonfiction, Computers, Programming, Software Development, General Computing
Cover of the book Software Architecture for Big Data and the Cloud by , Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9780128093382
Publisher: Elsevier Science Publication: June 12, 2017
Imprint: Morgan Kaufmann Language: English
Author:
ISBN: 9780128093382
Publisher: Elsevier Science
Publication: June 12, 2017
Imprint: Morgan Kaufmann
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Mergers and Acquisitions Basics by
Cover of the book Supply Chain Design and Management by
Cover of the book A Practical Guide to Writing a Ruth L. Kirschstein NRSA Grant by
Cover of the book Nanotechnology in the Food, Beverage and Nutraceutical Industries by
Cover of the book McEvoy's Handbook of Photovoltaics by
Cover of the book Simplified Design of IC Amplifiers by
Cover of the book Laboratory Methods in Cell Biology: Imaging by
Cover of the book Nuclear Corrosion Modeling by
Cover of the book Quantifying and Managing Soil Functions in Earth’s Critical Zone by
Cover of the book Advanced Control Design with Application to Electromechanical Systems by
Cover of the book The Basics of Cloud Computing by
Cover of the book Neurological Skills by
Cover of the book Ultrahigh-Pressure Metamorphism by
Cover of the book Insect Pathology by
Cover of the book Amorphous Chalcogenides by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy