Titre : | Handbook of research on big data storage and visualization techniques |
Auteurs : | Richard S. Segall, Editeur scientifique Jeffrey S. Cook, Editeur scientifique |
Editeur : | Hershey (PA) : IGI global |
Année de publication : | 2018 |
Collection : | Advances in data mining and database management |
Présentation physique : | 2 vol. (XXXVII, 917, XXXVIII-CLX p.)ill., tabl. |
ISBN/ISSN/EAN : | 978-1-5225-3143-2 |
Autre ISBN/ISSN : | 978-1-5225-3142-5;hardcover / 978-1-5225-3143-2;epub |
Mots clés : |
Sources d'information électroniques
Tableaux, graphiques, etc. Données massives Exploration de données RN-INFORMATION Données massives -- Méthodes graphiques |
Note générale : | Bibliogr. p. XXXVIII-CXXXVIII |
Résumé : | The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing,[...] The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. "The Handbook of Research on Big Data Storage and Visualization Techniques" is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject. The many academic areas covered in this publication include, but are not limited to : - Analytics, - Architecture Patterns, - Clouds and Clusters, - Computational Business Intelligence, - Computational Energy, - Programming Systems, - Technologies. [Présentation par le site internet de l'éditeur] |
En ligne : | http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1704000&lang=fr&site=ehost-live |
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5000352195 | EBSCOHOST | En ligne (à supprimer) | Bibliothèque Centrale | Documents numériques | Consultable sur place Exclu du prêt |