Big Data Analytics: Modern Practices and the Road Ahead

Authors

  • Dr. Abhijeet Madhukar Haval,Dr. Uruj Jaleel

Keywords:

Big Data, Data Analytics, Hadoop, Apache Spark, NoSQL, Predictive Analytics, Data Quality, Artificial Intelligence, Machine Learning, Real-time Processing

Abstract

Big data analytics has emerged as a transformative force across various sectors, enablingorganizations to derive actionable insights from vast volumes of structured and unstructureddata. This paper explores the state-of-the-art technologies and tools driving big data analytics,including the Hadoop ecosystem, Apache Spark, and NoSQL databases. It also examines thecurrent analytical methods, such as descriptive, predictive, and prescriptive analytics, alongsidetheir applications in industries like healthcare, finance, and retail. Furthermore, the paperaddresses key challenges

References

Alteryx. (2017). The State of Analytics: How Organizations Are Transforming Data into Insight.

Bertsimas, D., & Kallus, N. (2014). From Predictive to Prescriptive Analytics. Management Science, 66(3), 1025-1044.

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Published

2024-06-11

How to Cite

Dr. Abhijeet Madhukar Haval,Dr. Uruj Jaleel. (2024). Big Data Analytics: Modern Practices and the Road Ahead. Journal of Computational Analysis and Applications (JoCAAA), 33(06), 1798–1806. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2573

Issue

Vol. 33 No. 06 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.