Incremental Load Processing on ETL System through Cloud

Incremental Load Processing on ETL System through Cloud

연구 분야: Databases

학회: 2022 International Conference for Advancement in Technology (ICONAT)

Nowadays, patient data processing is more important in a real-time environment since the hospitals have protocols to maintain patient data on the server. From the server, data extraction makes it more challenging to maintain and process the data. In the proposed system, the data is sent from the cloud to ETL (Extract Transform Load) system to load, update and extract the particular content over the tables. Recommended system will provide more efficient data retrieve over data set and provide predicted values for the patient queries. In this paper, we introduce a novel system on ETL through the cloud to provide a better update on the ETL system to process more efficient and reduce the time to load the data on the particular table. The accuracy to update the particular record on ETL system and reduces the time process using recommended system.