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Exploring Cloud Solutions for Real-Time Big Data Processing

Author

Listed:
  • Vandana Nemane

    (Department of Computer Science, Dr. D. Y. Patil Arts, Commerce and Science College, Pimpri, Pune, Maharashtra, India)

  • Prajakta Patil

    (Department of Computer Science, Dr. D. Y. Patil Arts, Commerce and Science College, Pimpri, Pune, Maharashtra, India)

Abstract

Cloud-based solutions provide flexibility in storage and processing capabilities, allowing for tailored adjustments as organizational needs evolve. Collaboration is fostered, enabling data sharing and teamwork among diverse users and teams. Accessibility becomes universal, harnessing the potential of big data analytics from any location with an internet connection. The period of big data has brought about unknown challenges and openings for data processing and analytics. The volume, haste, and variety of data generated bear scalable and effective processing results. Real- time, contextual, and secure data is now charge critical.data streaming platforms (DSPs) play a vital part in simplifying access to real- time data and making it easy to exercise whenever and wherever it’s demanded. This paper explores the concept of big data processing in the cloud and its significance in enabling real- time data analytics. By using cloud infrastructure, we can process huge amounts of data assisting real-time data analysis.

Suggested Citation

  • Vandana Nemane & Prajakta Patil, 2025. "Exploring Cloud Solutions for Real-Time Big Data Processing," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 14(13), pages 76-79, October.
    • Handle: RePEc:bjb:journl:v:14:y:2025:i:13:p:76-79
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