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language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that;
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. The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and Searching, Big Data;
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Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing;
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(BI) and data warehousing implementations at the dawn of the "Big Data Era".and most see a critical need to revitalize their current;
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warehouses; stream processing; applications of big data analysis; and big data.;
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, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;
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Data warehousing and knowledge discovery has been widely accepted as a key te- nology for enterprises and organizations to improve their;
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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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analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big;
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with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern;
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This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held;
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approach and therefore this book explains how to leverage big data, cloud computing, data warehouse appliances, data mining, predictive analytics;
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, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Supply Chain Management in the Big Data Era;
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Data Warehousing ist seit einigen Jahren in vielen Branchen ein zentrales Thema. Die anfangliche Euphorie tauschte jedoch daruber hinweg;
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Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data;
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This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;
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This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;
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Construct and implement a data warehousing plan. In their efforts to collect information that will give them an edge, many companies have;
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of these systems depends on the ability to construct, maintain, and extract information from data warehouses. While many still perceive data;
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technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination;
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Since the first edition of Data Warehousing Fundamentals, there has been an increase in enterprises either already having or in the process;
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This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to;
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issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data;
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Data warehouses are the primary means by which businesses can gain competitive advantage through analyzing and using the information stored;
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from 164 submissions. The focus of the conference is on following topics: advanced database and web applications, big data analytics big data;
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