02631nam 2200445 450 991058349170332120230120002537.00-12-809338-2(CKB)3710000001403609(WaSeSS)IndRDA00092027(CaSebORM)9780128093382(MiAaPQ)EBC4875461(EXLCZ)99371000000140360920170711h20172017 uy 0engurcnu||||||||rdacontentrdamediardacarrierSoftware architecture for big data and the cloud /edited by Ivan Mistrik [and four others]First edition.Cambridge, Massachusetts :Morgan Kaufmann Publishers,2017.©20171 online resource (433 pages)Includes index.0-12-805467-0 Includes bibliographical references at the end of each chapters and indexes.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 dataSoftware engineeringSoftware engineering.005.1Mistrik Ivan897338Mistrík IvanMiAaPQMiAaPQMiAaPQBOOK9910583491703321Software architecture for big data and the cloud2132324UNINA