Characterizing Big Data Management
| Autor: | Kechi Hirama, Rogério Rossi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
FOS: Computer and information sciences
Big Data Gigabyte Emerging technologies Computer science Computer Science - Artificial Intelligence Big Data Management Big data Statistics - Applications World Wide Web Computer Science - Computers and Society Computer Science - Databases Big Data Analytics Computers and Society (cs.CY) Applications (stat.AP) Exabyte Decision-Making lcsh:T58.5-58.64 lcsh:Information technology business.industry Sentiment analysis Petabyte Databases (cs.DB) Big Data Challenges Data science Artificial Intelligence (cs.AI) Data access Analytics business |
| Zdroj: | Issues in Informing Science and Information Technology, Vol 12, Pp 165-180 (2015) |
| Popis: | Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management can be supported by these three dimensions: technology, people and processes. Hence, this article discusses these dimensions: the technological dimension that is related to storage, analytics and visualization of big data; the human aspects of big data; and, in addition, the process management dimension that involves in a technological and business approach the aspects of big data management. volume 12, 2015 |
| Databáze: | OpenAIRE |
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