Open AccessDevelopment on advanced technologies – design and development of cloud computing model
Author(s) -
Alexandra Briasouli,
Daniela Minkovska,
Lyudmila Stoyanova
Publication year - 2021
Publication title -
technology transfer: fundamental principles and innovative technical solutions/technology transfer: fundamental principles and innovative technical solutions.
Language(s) - English
Resource type - Journals
eISSN - 2585-6847
pISSN - 2585-6839
DOI - 10.21303/2585-6847.2021.002228
Subject(s) - big data , data science , computer science , analytics , ibm , revenue , variety (cybernetics) , cloud computing , software deployment , business value , competitive advantage , world wide web , business , marketing , data mining , software engineering , artificial intelligence , materials science , accounting , human capital , economic growth , economics , nanotechnology , operating system
Big Data has been created from virtually everything around us at all times. Every digital media interaction generates data, from computer browsing and online retail to iTunes shopping and Facebook likes. This data is captured from multiple sources, with terrifying speed, volume and variety. But in order to extract substantial value from them, one must possess the optimal processing power, the appropriate analysis tools and, of course, the corresponding skills. The range of data collected by businesses today is almost unreal. According to IBM, more than 2.5 times four million data bytes generated per year, while the amount of data generated increases at such an astonishing rate that 90 % of it has been generated in just the last two years. Big Data have recently attracted substantial interest from both academics and practitioners. Big Data Analytics (BDA) is increasingly becoming a trending practice that many organizations are adopting with the purpose of constructing valuable information from BD. The analytics process, including the deployment and use of BDA tools, is seen by organizations as a tool to improve operational efficiency though it has strategic potential, drive new revenue streams and gain competitive advantages over business rivals. However, there are different types of analytic applications to consider. This paper presents a view of the BD challenges and methods to help to understand the significance of using the Big Data Technologies. This article based on a bibliographic review, on texts published in scientific journals, on relevant research dealing with the big data that have exploded in recent years, as they are increasingly linked to technology