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Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by;
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effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and;
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Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R;
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Standard tutorial-based approach. Getting Started with Greenplum for Big Data Analytics is great for data scientists and data analysts with;
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of Big Data processing using R programming language and its powerful statistical capabilities * Deploy Big Data analytics platforms with;
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This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;
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BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and;
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big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data;
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The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry;
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presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics;
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presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics;
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Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;
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Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;
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that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems (R)) platform and its architecture, as;
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Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and;
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We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it;
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Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the;
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that delivers value To become bigger, you must think bigger. Discover the value in your data sets and maximize your bottom line with Big Data;
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With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to;
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analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual;
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trends, potential, and challenges associated with big data and business analytics Get an overview of machine learning, advanced statistical;
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in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine;
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This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data;
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synergistic force for innovation and growth. If you want your company to move forward with confidence, Big Data, Big Innovation: Enabling Competitive;
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mining, data collection, big data analytics for business and business intelligence concepts.With this book, not only will you;
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This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India;
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with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution;
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