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Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University;
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clearly describes and links Big Data concepts to business utility. --Dr. Christopher Starr, PhD Simply, this is the best Big Data book on;
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Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java;
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Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp explains;
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applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and;
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Gain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark. The book begins;
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Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable;
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This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents;
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explorations. What You Will Learn Discover R, statistics, data science, data mining, and big data Master the fundamentals of R programming;
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for informatics, big data, and complex data sets. Combines fundamentals / basics with experimental applications that can help those;
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This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the;
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This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during;
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Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use;
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the fast and scalable computing features of Spark to address big data challenges * Work through practical examples on real-world problems;
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: Big Data Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Security Applications;
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Advances in Big Data Analytics is a compendium of articles and papers that were presented at ABDA '14, an international conference that;
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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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optimizations for big data workloads and maximizing performance Build efficient big data engineering pipelines with Databricks and Delta Lake;
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About;
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This book constitutes the refereed conference proceedings of the Fourth International Conference on Big Data Analytics, BDA 2015, held;
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