Big Data Analytics: Harnessing Data for New Business Models

Автор: literator от 11-04-2021, 14:52, Коментариев: 0

Категория: КНИГИ » ОС И БД

Big Data Analytics: Harnessing Data for New Business ModelsНазвание: Big Data Analytics: Harnessing Data for New Business Models
Автор: Soraya Sedkaoui, Mounia Khelfaoui
Издательство: Apple Academic Press/CRC Press
Год: 2022
Страниц: 326
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This volume explores the diverse applications of advanced tools and technologies of the emerging field of Big Data and their evidential value in business. It examines the role of analytics tools and methods of using Big Data in strengthening businesses to meet today’s information challenges and shows how businesses can adapt Big Data for effective businesses practices.

This volume shows how Big Data and the use of data analytics is being effectively adopted more frequently, especially in companies that are looking for new methods to develop smarter capabilities and tackle challenges in dynamic processes. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.

In this work, we present theoretical research about Big Data. It should be mentioned that 2012 was the year of the Big Data buzz when the notion was popularized; this means that companies are dealing with an amount volume of data to be processed, which presents a technical and economic challenge. The objective of the present work is to answer the following questions: what is Big Data? Why are we interested in Big Data? In addition, what is the revolutionary technology adopted by Big Data?

This book focuses on a new trend to process and analyze large data, i.e., Big Data. It has become an imperative approach, particularly with the massive outbreak of data on the Internet (videos, photos, messages, social networks, e-commerce transactions, etc.) and the large diffusion use of connected objects (smartphones and tablets). In this research, we attempt to represent the Big Data phenomenon’s designs, architectures, and applications.

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