Isbn: 9786206844716 - data explorer's guide : big data analytics essentials (6 risultati)

Taschenbuch. Condizione: Neu. Data Explorer's Guide : Big Data Analytics Essentials | Chhinder Kaur Dhaliwal (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786206844716 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 192 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a comprehensive overview of Big Data and its analytics. It covers fundamental concepts related to Big Data, including its definition and challenges, and delves into the intricacies of Big Data analytics. The book offers in-depth explanati.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a comprehensive overview of Big Data and its analytics. It covers fundamental concepts related to Big Data, including its definition and challenges, and delves into the intricacies of Big Data analytics. The book offers in-depth explanations of topics such as the Hadoop Distributed File System (HDFS), Apache Pig scripting, clustering analysis, regression analysis, and various analytical theories and methods. It aims to serve as an educational resource for undergraduate and graduate students, researchers, and professionals interested in the field of data science and analytics, making it suitable for an academic level ranging from undergraduate courses to advanced graduate studies and research.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive overview of Big Data and its analytics. It covers fundamental concepts related to Big Data, including its definition and challenges, and delves into the intricacies of Big Data analytics. The book offers in-depth explanations of topics such as the Hadoop Distributed File System (HDFS), Apache Pig scripting, clustering analysis, regression analysis, and various analytical theories and methods. It aims to serve as an educational resource for undergraduate and graduate students, researchers, and professionals interested in the field of data science and analytics, making it suitable for an academic level ranging from undergraduate courses to advanced graduate studies and research.…