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to reach at the decision-making conclusions. The book Principles of Big Data takes the readers through the various aspects of big data and;
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Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental;
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on over 10 years of experience in the field as an authority in big data strategy, the author identifies core principles of data analytics;
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geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly;
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decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage;
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recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source;
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Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;
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Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;
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The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main;
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open-ended problems that conclude each chapter. Readers will be able to master the fundamental principles for dealing with big data over large;
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, and realistic introduction to big data - and to show how it may greatly advance our understanding of the principles of human memory;
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, and realistic introduction to big data - and to show how it may greatly advance our understanding of the principles of human memory;
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These proceedings gather cutting-edge papers exploring the principles, techniques, and applications of Microservices in Big Data Analytics;
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These proceedings gather cutting-edge papers exploring the principles, techniques, and applications of Microservices in Big Data Analytics;
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only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the;
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considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference;
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Process Safety and Big Data discusses the principles of process safety and advanced information technologies. It explains how these;
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, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary;
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the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This;
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This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary;
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and devices such as NVM, STT- RAM, 3D IC design principles Describes advanced algorithms for different big data application;
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such as NVM, STT- RAM, 3D IC design principles Describes advanced algorithms for different big data application domains;
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This book constitutes the thoroughly revised selected papers of the 6th workshop on Big Data Benchmarks, Performance Optimization, and;
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This book contains a framework for productive discussion and thinking about ethics and Big Data in business environments. With the;
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Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and;
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This book covers IoT and Big Data from a technical and business point of view. The book explains the design principles, algorithms;
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