{"product_id":"big-data-analytics-and-cloud-computing-theory-algorithms-and-applications-9783319253114","title":"Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications","description":"\u003cp\u003e • Author(s): Marcello Trovati\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Distributed Systems - Cloud Computing\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eThis important and timely text\/reference reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science.\u003cbr\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDescribes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExamines the applications and implementations that utilize big data in cloud architectures\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSurveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIdentifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProvides relevant theoretical frameworks, empirical research findings, and numerous case studies\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDiscusses real-world applications of algorithms and techniques to address the challenges of big datasets\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eThis authoritative volume will be of great interest to researchers, enterprise architects, business analysts, IT infrastructure managers and application developers, who will benefit from the valuable insights offered into the adoption of architectures for big data and cloud computing. The work is also suitable as a textbook for university instructors, with the outline for a possible course structure suggested in the preface. \u003cbr\u003eThe editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where \u003cb\u003eDr. Marcello Trovati\u003c\/b\u003e serves as a Senior Lecturer in Mathematics, \u003cb\u003eDr. Richard Hill\u003c\/b\u003eas a Professor and Head of the Computing and Mathematics Department, \u003cb\u003eDr. Ashiq Anjum\u003c\/b\u003e as a Professor of Distributed Computing, \u003cb\u003eDr. Shao Ying Zhu\u003c\/b\u003e as a Senior Lecturer in Computing, and \u003cb\u003eDr. Lu Liu\u003c\/b\u003e as a Professor of Distributed Computing. The other publications of the editors include the Springer titles \u003ci\u003eGuide to Security Assurance for Cloud Computing\u003c\/i\u003e, \u003ci\u003eGuide to Cloud Computing\u003c\/i\u003e \u003ci\u003eand \u003c\/i\u003e\u003ci\u003eCloud Computing for Enterprise Architectures\u003c\/i\u003e.\u003cbr\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45279765823639,"sku":"9783319253114","price":8732.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319253114.webp?v=1769294488","url":"https:\/\/atlanticbooks.com\/products\/big-data-analytics-and-cloud-computing-theory-algorithms-and-applications-9783319253114","provider":"Atlantic Books","version":"1.0","type":"link"}