Data control: major challenge for the digital society
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TextLanguage: English Publication details: New Jersey: Wiley Data and Cybersecurity, 2023. Edition: 1st edDescription: xxiii, 174pISBN: 9781119779810Subject(s): Data to Decision‐Making -- Knowledge to Strategic Business Intelligence | Data to Information | Information to KnowledgeDDC classification: 005.7 Online resources: Click here to access online
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| e-Books | Dr. S. R. Ranganathan Library Ebook (Online Access) | 005.7 (Online Access) (Browse shelf(Opens below)) | Available | EB0117 |
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| 005.7 (Online Access) Big data and differential privacy: analysis strategies for railway track engineering | 005.7 (Online Access) Big data: An art of decision making | 005.7 (Online Access) Data analytics and big data | 005.7 (Online Access) Data control: major challenge for the digital society | 005.7 (Online Access) Data mining algorithms: explained using R | 005.7 (Online Access) Designing big data platforms: how to use, deploy, and maintain big data systems | 005.717 Foundations of coding: compression, encryption, error correction |
Businesses are becoming increasingly aware of the importance of data and information. As such, they are eager to develop ways to “manage” them, to enrich them and take advantage of them. Indeed, the recent explosion of a phenomenal amount of data, and the need to analyze it, brings to the forefront the well-known hierarchical model: “Data, Information, Knowledge”.
“Data”– this new intangible manna – is produced in real time. It arrives in a continuous stream and comes from a multitude of sources that are generally heterogeneous. This accumulation of data of all kinds is generating new activities designed to analyze these huge amounts of information. It is therefore necessary to adapt and try new approaches, methods, new knowledge and new ways of working. This leads to new properties and new issues as a logical reference must be created and implemented. At the company level, this mass of data is difficult to manage; interpreting it is the predominant challenge.