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Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital;
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DDoS attacks; and generation of labelled datasets to quantify the impact of security threats to cloud data centers. Section 2 focuses on;
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community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book;
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how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications.;
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how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications.;
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. The text reviews a range of applications and methods for linking Clouds, undertaking data management and scientific data analysis, and;
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This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the;
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Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design;
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configurations. The chapters include data formations of offline, distributed, online, cloud, and longitudinal data, used for kernel analysis to classify;
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of Cloud Computing, ALGOCLOUD 2016, held in Aarhus, Denmark, in August 2016. The 11 revised full papers presented together with one tutorial paper;
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Cloud Computing: Theory and Practice, Third Edition provides students and IT professionals with an in-depth analysis of the cloud from;
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With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated;
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an accessible analysis of the key legal and regulatory issues that surround cloud computing. Topics covered include contracts for cloud;
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an accessible analysis of the key legal and regulatory issues that surround cloud computing. Topics covered include contracts for cloud;
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Oracle Analytics Cloud is a full Business Intelligence platform that allows companies to store and calculate data and display it;
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creating applications that use real-time data streaming by combining different technologies and use the full power of Spring Cloud Data Flow. The;
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The cloud model of data sharing has led to a vast increase in the quantity and complexity of data and expanded access to these data, which;
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This book presents emerging concepts in data mining, big data analysis, communication, and networking technologies, and discusses the state;
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organized in topical sections, namely big data and cloud computing; architectures, structures and algorithms for efficient data processing and;
Vergelijkbare producten zoals Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis
addresses the basics of operating a Cloud computing data center, the services offered from Cloud providers, the carrier role in connecting users to;
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Cloud Networking: Understanding Cloud-Based Data Center Networks explains the evolution of established networking technologies into;
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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural;
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Discover and apply the Azure platform's most powerful data solutions Cloud technologies are advancing at an accelerating;
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Cloud computing and big data are arguably the most significant forces in information technology today. In the wake of revelations about;
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Cloud computing and big data are arguably the most significant forces in information technology today. In the wake of revelations about;
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conference that serves researchers, scholars, professionals, students, and academicians. Selected topics include: Cloud Computing, Analysis;
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DPA. Data Protection and the Cloud addresses that issue, providing an expert introduction to the legal and practical data protection risks;
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