Blockchain-Enabled Data Management

Authors

  • Shifali Kapoor Author

Abstract

This research delves into the transformative impact of blockchain technology on data management in the digital landscape. Focusing on its decentralized, tamper-resistant ledger, the study explores how blockchain fundamentally reshapes data security, transparency, and integrity. We examine the role of blockchain in securing data, ensuring trustworthy transactions, and enhancing transparency in various industries. The research also addresses challenges such as scalability and interoperability, proposing innovative solutions for seamless integration. Real-world applications across finance, healthcare, supply chain, and beyond are scrutinized, showcasing the diverse potential of blockchain in revolutionizing data management. By providing a comprehensive overview of blockchain's capabilities and challenges, this study aims to guide organizations in leveraging blockchain for robust and secure data management.

Downloads

Download data is not yet available.

References

Ronak Pansara, Master Data Management Challenges, International Journal of Computer Science and Mobile Computing, Vol.10 Issue.10, October- 2021, pg. 47-49

Chaitanya Krishna Suryadevara, “TOWARDS PERSONALIZED HEALTHCARE - AN INTELLIGENT MEDICATION RECOMMENDATION SYSTEM”, IEJRD - International Multidisciplinary Journal, vol. 5, no. 9, p. 16, Dec. 2020.

Suryadevara, Chaitanya Krishna, Predictive Modeling for Student Performance: Harnessing Machine Learning to Forecast Academic Marks (December 22, 2018). International Journal of Research in Engineering and Applied Sciences (IJREAS), Vol. 8 Issue 12, December-2018, Available at SSRN: https://ssrn.com/abstract=4591990

Suryadevara, Chaitanya Krishna, Unveiling Urban Mobility Patterns: A Comprehensive Analysis of Uber (December 21, 2019). International Journal of Engineering, Science and Mathematics, Vol. 8 Issue 12, December 2019, Available at SSRN: https://ssrn.com/abstract=4591998

Pansara, R. R. Master Data Management important for maintaining data accuracy, completeness and consistency.

Chaitanya Krishna Suryadevara. (2019). A NEW WAY OF PREDICTING THE LOAN APPROVAL PROCESS USING ML TECHNIQUES. International Journal of Innovations in Engineering Research and Technology, 6(12), 38–48. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3654

Chaitanya Krishna Suryadevara. (2020). GENERATING FREE IMAGES WITH OPENAI’S GENERATIVE MODELS. International Journal of Innovations in Engineering Research and Technology, 7(3), 49–56. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3653

Chaitanya Krishna Suryadevara. (2020). REAL-TIME FACE MASK DETECTION WITH COMPUTER VISION AND DEEP LEARNING: English. International Journal of Innovations in Engineering Research and Technology, 7(12), 254–259. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3184

Pansara, Ronak. "“MASTER DATA MANAGEMENT IMPORTANCE IN TODAY’S ORGANIZATION." International Journal of Management (IJM)12.10 (2021).

Chaitanya Krishna Suryadevara. (2021). ENHANCING SAFETY: FACE MASK DETECTION USING COMPUTER VISION AND DEEP LEARNING. International Journal of Innovations in Engineering Research and Technology, 8(08), 224–229. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3672

Published

2022-08-17

Issue

Section

Articles

How to Cite

Blockchain-Enabled Data Management. (2022). International Numeric Journal of Machine Learning and Robots, 6(6). https://injmr.com/index.php/fewfewf/article/view/16

Most read articles by the same author(s)

1 2 3 4 5 6 > >>