Research Topic · Peer-Reviewed

Big Data Analytics

Big data analytics is the process of examining very large, complex, and rapidly accumulating datasets to uncover patterns, correlations, trends, and other insights that support decision-making. It addresses data that exceeds the capacity of traditional processing tools, typically characterized by high volume, veloci…

Curated from this journal's research 📚 2 peer-reviewed articles cited Cited 17× across the literature 🔖 ISSN 2768-0207

Overview

Big data analytics is the process of examining very large, complex, and rapidly accumulating datasets to uncover patterns, correlations, trends, and other insights that support decision-making. It addresses data that exceeds the capacity of traditional processing tools, typically characterized by high volume, velocity, and variety, and draws on techniques from statistics, machine learning, data mining, and distributed computing to extract meaning from structured and unstructured sources. A typical analytics workflow involves collecting and integrating data from diverse origins, storing and managing it at scale, cleaning and transforming it, and then applying descriptive, predictive, or prescriptive methods to generate actionable results, often communicated through visualization and reporting tools. Big data analytics is applied across science, healthcare, business, finance, and government, enabling more informed operations, forecasting, and personalization, while raising considerations of data quality, privacy, and governance. Within the scope of Big Data Research, this page gathers peer-reviewed, open-access work relevant to data analysis, analytics platforms, and the broader application of computational methods to large datasets, serving as a reference point for readers interested in the methods, tools, and uses of big data analytics.

Research published in this journal

2 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 2 articles above have been cited 17 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Nov 2026.

A sample of recent works citing this journal's research on Big Data Analytics, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Journal of Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Dr. Kedir Abegaz · Ethiopia Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.