ADVANCED DATA SCIENCE ENGINEERING: BIG DATA, CLOUD, AND SCALABLE ANALYTICS

Authors

  • Dr J Nirmaladevi, Latha.P , Karthick R, K N Jayapriya, Anusha P, M. Kannukkiniyal Author

DOI:

https://doi.org/10.7492/f54z3727

Abstract

 Rapid advancements in digital technologies have resulted in exploding data generation by organizations and individuals both at an exponential rate. Consequently, data science engineering now becomes indispensable for managing, processing as well as analysing large and complex datasets. Through big data technology, companies can collect and process huge data sets. Similarly, cloud computing involves collecting huge data and providing flexible scalable infrastructure for storage and processing.The amalgamation of big data technology, cloud computing platforms, and scalable analytics framework in the present data science engineering. The project critiques the approaches that cloud journalism, and computers journalist use in the dissemination of information.The combination of big data systems and cloud infrastructure allows scalable analytics and facilitates data-driven decision-making in modern organizations with increasing operational efficiency.

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Published

1990-2026

Issue

Section

Articles

How to Cite

ADVANCED DATA SCIENCE ENGINEERING: BIG DATA, CLOUD, AND SCALABLE ANALYTICS. (2026). MSW Management Journal, 36(1), 3838-3840. https://doi.org/10.7492/f54z3727