Big data : concepts, methodologies, tools, and applications için kapak resmi
Başlık:
Big data : concepts, methodologies, tools, and applications
Dil:
English
ISBN:
9781466698413
Yayın Bilgileri:
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) :

IGI Global,

[2016]
Fiziksel Tanımlama:
PDFs (2,478 pages) : illustrations.
İçerik:
Fundamental concepts and theories -- Development and design methodologies -- Tools and technologies -- Utilization and application -- Organizational and social implications -- Managerial impact -- Critical issues -- Emerging trends.
Özet:
"This is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets, offering exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, methods for searching and transferring large data sets in addition to security issues"--Provided by publisher.
Orjinal veya Özgün Eser Adı:
Big data (Information Science Reference)

Mevcut:*

Materyal Türü
Demirbaş Numarası
Yer Numarası
Raf Konumu
Mevcut Konumu
Materyal Istek
E-Kitap 1922468-1001 QA76.9 .Q36 B54 2016e IGI InfoSci
Arıyor...

On Order

Özet

Özet

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. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.