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of results and their connection with other (external) software tools. SAS allows business users to find relationships in data, by structuring and;
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Leverage the capabilities of SAS to process and analyze Big Data About This Book * Combine SAS with platforms such as Hadoop, SAP;
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that keep them competitive. Especially with the influx of big data, the importance of data analysis to improve every dimension of business;
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, analytics, and big data experts-first show how SAS is used in business, and then how to get started programming in SAS by importing data and;
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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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practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and;
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Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to;
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healthcare and data mining challenges Presents the contributions of big data experts from academia and industry, including SAS Highlights the most;
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healthcare and data mining challenges Presents the contributions of big data experts from academia and industry, including SAS Highlights the most;
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integrating quantitative data and textual analysis with advanced computer learning principles, the authors demonstrate the combined advantages of SAS;
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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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A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;
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in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge;
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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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statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software;
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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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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 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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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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from smart grid deployments. Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big;
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data management platform. The authors use SAS VIYA to focus on analytics to solve problems, highlight how analytics is applied in the airline;
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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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real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code;
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