Publication Date: 2023/06/07
Abstract: Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity.[4] The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Thus a fourth concept, veracity, refers to the quality or insightfulness of the data. Without sufficient investment in expertise for big data veracity, then the volume and variety of data can produce costs and risks that exceed an organization's capacity to create and capture value from big data.
Keywords: Monumental data, monumental data analytics, Healthcare, Public health.
DOI: https://doi.org/10.5281/zenodo.8012102
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23JUN135_(1)_(1).pdf
REFERENCES