Procesarea Big Data

Sfetcu, Nicolae Procesarea Big Data. IT & C, 2023, vol. 2, n. 1, pp. 18-22. [Journal article (Paginated)]

[thumbnail of IT&C-2-1-Internet-Procesarea_Big_Data-Nicolae_Sfetcu.pdf]
Preview
Text
IT&C-2-1-Internet-Procesarea_Big_Data-Nicolae_Sfetcu.pdf - Published version
Available under License Creative Commons Attribution.

Download (216kB) | Preview
Alternative locations: https://doi.org/10.58679/IT91785

English abstract

The data must be processed with advanced collection and analysis tools, based on predetermined algorithms, in order to obtain relevant information. Algorithms must also take into account aspects invisible to direct perceptions. Big Data in government processes increase cost efficiency, productivity and innovation. Civil registries are a source for Big Data. The processed data helps in critical development areas such as health care, employment, economic productivity, crime, security and natural disaster and resource management.

Romanian abstract

Datele trebuie procesate cu instrumente avansate de colectare și analiză, pe baza unor algoritmi prestabiliți, pentru a putea obține informații relevante. Algoritmii trebuie să ia în considerare și aspecte invizibile pentru percepțiile directe. Big Data în procesele guvernamentale cresc eficiența costurilor, productivitatea și inovația. Registrele civile sunt o sursă pentru Big Data. Datele prelucrate ajută în domenii critice de dezvoltare, cum ar fi îngrijirea sănătății, ocuparea forței de muncă, productivitatea economică, criminalitatea, securitatea și gestionarea dezastrelor naturale și a resurselor.

Item type: Journal article (Paginated)
Keywords: big data, date, analiza datelor, colectarea datelor, algoritmi
Subjects: L. Information technology and library technology > LC. Internet, including WWW.
Depositing user: Nicolae Sfetcu
Date deposited: 24 Jan 2024 08:54
Last modified: 24 Jan 2024 08:54
URI: http://hdl.handle.net/10760/45363

References

Allen, Marshall. 2018. “Health Insurers Are Vacuuming Up Details About You — And It Could Raise Your Rates.” Text/html. ProPublica. July 17, 2018. https://www.propublica.org/article/health-insurers-are-vacuuming-up-details-about-you-and-it-could-raise-your-rates.

Brumfiel, Geoff. 2011. “High-Energy Physics: Down the Petabyte Highway.” Nature 469 (7330): 282–83. https://doi.org/10.1038/469282a.

Constine, Josh. 2017. “Facebook Now Has 2 Billion Monthly Users… and Responsibility.” TechCrunch (blog). 2017. http://social.techcrunch.com/2017/06/27/facebook-2-billion-users/.

Dean, Jeffrey, and Sanjay Ghemawat. 2004. “MapReduce: Simplified Data Processing on Large Clusters.” http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf.

European Commission. 2019. “Horizon 2020.” Text. Horizon 2020 – European Commission. 2019. https://ec.europa.eu/programmes/horizon2020/en.

Kvochko, Elena. 2012. “Four Ways to Talk About Big Data.” Text. Information and Communications for Development. December 4, 2012. http://blogs.worldbank.org/ic4d/four-ways-to-talk-about-big-data.

Manyika, James, Michael Chui, Jaques Bughin, and Brad Brown. 2011. “Big Data: The next Frontier for Innovation, Competition, and Productivity.” 2011. https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation.

MIKE2.0. 2019. “Big Data Solution Offering – MIKE2.0, the Open Source Methodology for Information Development.” 2019. http://mike2.openmethodology.org/wiki/Big_Data_Solution_Offering.

Sullivan, Danny. 2015. “Google Still Doing At Least 1 Trillion Searches Per Year.” Search Engine Land. January 16, 2015. https://searchengineland.com/google-1-trillion-searches-per-year-212940.


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item