Download the fantastic book titled Software Architecture for Big Data and the Cloud written by Ivan Mistrik, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Software Architecture for Big Data and the Cloud", which was released on 12 June 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Software Architecture for Big Data and the Cloud by Ivan Mistrik PDF
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
Detail About Software Architecture for Big Data and the Cloud PDF
- Author : Ivan Mistrik
- Publisher : Morgan Kaufmann
- Genre : Computers
- Total Pages : 470 pages
- ISBN : 0128093382
- Release Date : 12 June 2017
- PDF File Size : 15,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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