02387nam 2200601 450 991080842760332120230626053822.01-4426-5586-01-4426-2330-610.3138/9781442623309(CKB)3710000000329258(EBL)3296821(CEL)449399(OCoLC)905361963(CaBNVSL)slc00235510(MiAaPQ)EBC4669949(DE-B1597)465648(OCoLC)979836640(DE-B1597)9781442623309(Au-PeEL)EBL4669949(CaPaEBR)ebr11256463(OCoLC)958562294(MdBmJHUP)musev2_106993(EXLCZ)99371000000032925820160920h19871987 uy 0engur|n|---|||||rdacontentrdamediardacarrierContours of Canadian thought /A. B. McKillop2nd ed.Toronto, [Ontario] ;Buffalo, [New York] ;London [England] :University of Toronto Press,1987.©19871 online resource (176 p.)HeritageIncludes index.0-8020-6652-6 Cover -- Contents -- Preface -- 1 Nationalism, Identity, and Canadian Intellectual History -- 2 So Little on the Mind -- 3 Science, Humanism, and the Ontario University -- 4 Evolution, Ethnology, and Poetic Fancy -- 5 Science, Ethics, and 'Modern Thought' -- 6 The Research Ideal and the University of Toronto -- 7 The Idealist Legacy -- 8 Science, Authority, and the American Empire -- Notes -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Y.McKillop explores the thought of a number of English-Canadian thinkers from the 1860s to the 1920s, decades that saw Canada's entry into the modern age.SCIENCE / Philosophy & Social AspectsbisacshCanadaIntellectual lifeElectronic books. SCIENCE / Philosophy & Social Aspects.303.4830971McKillop A. B.1684038MiAaPQMiAaPQMiAaPQBOOK9910808427603321Contours of Canadian thought4055274UNINA04730nam 22006255 450 99646536310331620240415225310.03-030-44187-310.1007/978-3-030-44187-6(CKB)4100000011343279(DE-He213)978-3-030-44187-6(MiAaPQ)EBC6273788(PPN)258876581(EXLCZ)99410000001134327920200709d2020 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierBig Data 2.0 Processing Systems[electronic resource] A Systems Overview /by Sherif Sakr2nd ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XVI, 145 p. 70 illus., 19 illus. in color.)3-030-44186-5 Includes bibliographical references.Introduction -- General-Purpose Big Data Processing Systems -- Large-Scale Processing Systems of Structured Data -- Large-Scale Graph Processing Systems -- Large-Scale Stream Processing Systems -- Large-Scale Machine/Deep Learning Frameworks -- Conclusions and Outlook.This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Next, Chapter 6 focuses on covering the emerging frameworks and systems in the domain of scalable machine learning and deep learning processing. Lastly, Chapter 7 shares conclusions and an outlook on future research challenges. This new and considerably enlarged second edition not only contains the completely new chapter 6, but also offers a refreshed content for the state-of-the-art in all domains of big data processing over the last years. Overall, the book offers a valuable reference guide for professional, students, and researchers in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.Information organizationInformation technologyBusinessData processingMachine learningDatabase managementInformation Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032IT in Businesshttps://scigraph.springernature.com/ontologies/product-market-codes/522000Machine Learninghttps://scigraph.springernature.com/ontologies/product-market-codes/I21010Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Information organization.Information technology.BusinessData processing.Machine learning.Database management.Information Storage and Retrieval.IT in Business.Machine Learning.Database Management.005.7Sakr Sherifauthttp://id.loc.gov/vocabulary/relators/aut866736MiAaPQMiAaPQMiAaPQBOOK996465363103316Big Data 2.0 Processing Systems1953983UNISA