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