Data Quality Assurance in the Age of Big Data: Strategies and Best Practices for Reliable Data Management
Main Article Content
Abstract
The exponential growth of big data introduces unprecedented challenges in ensuring the quality and reliability of the vast and diverse datasets being generated. This research investigates innovative strategies and best practices for data quality assurance in the age of big data. We delve into the intricacies of data validation, cleansing, and enrichment, emphasizing the critical role of automated tools and machine learning algorithms in enhancing data quality. The study explores methodologies for establishing robust data governance frameworks and the incorporation of real-time monitoring to detect and rectify data anomalies promptly. Additionally, we discuss the significance of data quality in analytics and decision-making processes, underscoring the impact of reliable data management on organizational success. By providing actionable insights, this research aims to guide enterprises in navigating the complexities of big data and maintaining high standards of data quality.
Downloads
Article Details
How to Cite
References
Ronak Pansara, Master Data Management Challenges, International Journal of Computer Science and Mobile Computing, Vol.10 Issue.10, October- 2021, pg. 47-49
Pansara, R. (2023). MDM Governance Framework in the Agtech & Manufacturing Industry. International Journal of Sustainable Development in Computing Science, 5(4), 1-10.
Pansara, R. (2023). From Fields to Factories A Technological Odyssey in Agtech and Manufacturing. International Journal of Managment Education for Sustainable Development, 6(6), 13-23.
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.
Pansara, R. (2023). Seeding the Future by Exploring Innovation and Absorptive Capacity in Agriculture 4.0 and Agtechs. International Journal of Sustainable Development in Computing Science, 5(2), 46-59. Retrieved from https://ijsdcs.com/index.php/ijsdcs/article/view/347
Pansara, R. (2023). Cultivating Data Quality to Strategies, Challenges, and Impact on Decision-Making. International Journal of Managment Education for Sustainable Development, 6(6), 24-33. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/356
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
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
Chaitanya Krishna Suryadevara, “DIABETES RISK ASSESSMENT USING MACHINE LEARNING: A COMPARATIVE STUDY OF CLASSIFICATION ALGORITHMS”, IEJRD - International Multidisciplinary Journal, vol. 8, no. 4, p. 10, Aug. 2023.
Chaitanya Krishna Suryadevara. (2023). REVOLUTIONIZING DIETARY MONITORING: A COMPREHENSIVE ANALYSIS OF THE INNOVATIVE MOBILE APP FOR TRACKING DIETARY COMPOSITION. International Journal of Innovations in Engineering Research and Technology, 10(8), 44–50. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3673
Chaitanya krishna Suryadevara. (2023). NOVEL DEVICE TO DETECT FOOD CALORIES USING MACHINE LEARNING. Open Access Repository, 10(9), 52–61. Retrieved from https://oarepo.org/index.php/oa/article/view/3546
Pansara, Ronak. "“MASTER DATA MANAGEMENT IMPORTANCE IN TODAY’S ORGANIZATION." International Journal of Management (IJM)12.10 (2021).
Pansara, R. (2023). Navigating Data Management in the Cloud-Exploring Limitations and Opportunities. Transactions on Latest Trends in IoT, 6(6), 57-66.
Pansara, R. (2023). Review & Analysis of Master Data Management in Agtech & Manufacturing industry. International Journal of Sustainable Development in Computing Science, 5(3), 51-59.
Pansara, R. (2023). Unraveling the Complexities of Data Governance with Strategies, Challenges, and Future Directions. Transactions on Latest Trends in IoT, 6(6), 46-56.
Pansara, R. R. (2023). Importance of Master Data Management in Agtech & Manufacturing Industry.
krishna Suryadevara, C. (2023). NOVEL DEVICE TO DETECT FOOD CALORIES USING MACHINE LEARNING. Open Access Repository, 10(9), 52-61.
Atluri, H., & Thummisetti, B. S. P. (2023). Optimizing Revenue Cycle Management in Healthcare: A Comprehensive Analysis of the Charge Navigator System. International Numeric Journal of Machine Learning and Robots, 7(7), 1-13.
Kasula, B. Y. (2023). Machine Learning Applications in Diabetic Healthcare: A Comprehensive Analysis and Predictive Modeling. International Numeric Journal of Machine Learning and Robots, 7(7).
Kasula, B. Y. (2023). The Role of Blockchain Technology in Securing Electronic Health Records. Transactions on Latest Trends in Artificial Intelligence, 4(4).
Pansara, R. (2023). MDM Governance Framework in the Agtech & Manufacturing Industry. International Journal of Sustainable Development in Computing Science, 5(4), 1-10.
Kasula, B. Y. (2023). Leveraging Natural Language Processing and Machine Learning for Enhanced Content Rating. International Meridian Journal, 5(5).
Kasula, B. Y. (2023). Exploring the Impact of Telemedicine on Patient Engagement and Healthcare Accessibility. International Transactions in Machine Learning, 5(5), 1-7.
Atluri, H., & Thummisetti, B. S. P. (2022). A Holistic Examination of Patient Outcomes, Healthcare Accessibility, and Technological Integration in Remote Healthcare Delivery. Transactions on Latest Trends in Health Sector, 14(14).