Cloud Engineering in ETL Processes and its Impact on the Processing of HCAI Claims Data
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 1 | Views: 53 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Information Technology | India | Volume 14 Issue 1, January 2025 | Popularity: 5 / 10


     

Cloud Engineering in ETL Processes and its Impact on the Processing of HCAI Claims Data

Saurabh Gupta


Abstract: This research is all about the transformation role of cloud engineering in extract, transform, load (ETL) processes, especially in the industry of health care and insurance (HCAI) data claims. ETL solutions offer more advantages than traditional ones, such as on-site systems, which consist of scalability, flexibility, less expense, and improved results. The other platforms that are cloud providers like AWS, Google Cloud, and Microsoft Azure are beneficial and efficient for organizations that deal with extensive data and must solve complicated datasets, such as the HCAI claims, efficiently and help get the best and most effective decisions. This research includes the advantages of real-world cases and on-the-spot analytics that can reduce the chances of fraud and any system inefficiency. The other advantage of shifting to the cloud is that it also improves data security and accuracy, using inbuilt features like encryption, control of access, and integration with healthcare rules and regulations.


Keywords: Cloud Engineering, ETL processes, HCAI claims


Edition: Volume 14 Issue 1, January 2025


Pages: 651 - 655


DOI: https://www.doi.org/10.21275/SR25114125305



Make Sure to Disable the Pop-Up Blocker of Web Browser


Text copied to Clipboard!
Saurabh Gupta, "Cloud Engineering in ETL Processes and its Impact on the Processing of HCAI Claims Data", International Journal of Science and Research (IJSR), Volume 14 Issue 1, January 2025, pp. 651-655, https://www.ijsr.net/getabstract.php?paperid=SR25114125305, DOI: https://www.doi.org/10.21275/SR25114125305

Similar Articles

Downloads: 2 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Research Paper, Information Technology, India, Volume 12 Issue 3, March 2023

Pages: 1855 - 1863

Data Integration: AI-Driven Approaches to Streamline Data Integration from Various Sources

Muneer Ahmed Salamkar

Share this Article

Downloads: 3 | Weekly Hits: ⮙2 | Monthly Hits: ⮙3

Research Paper, Information Technology, United States of America, Volume 13 Issue 10, October 2024

Pages: 300 - 304

Machine Learning Algorithms for Predictive Quality Assurance in Healthcare in DW ETL Processes

Arun Kumar Ramachandran Sumangala Devi

Share this Article

Downloads: 4 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Research Paper, Information Technology, India, Volume 8 Issue 4, April 2019

Pages: 2026 - 2032

Data Quality Management in Financial ETL Processes: Techniques and Best Practices

Abhilash Katari

Share this Article

Downloads: 10 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Informative Article, Information Technology, United States of America, Volume 13 Issue 8, August 2024

Pages: 285 - 290

Strategic Data Pipeline Design: Enhancing Operational Efficiency from Oracle to Single Store using Airflow S3 Data Pipelines

Pankaj Dureja

Share this Article
Top