Abstract: This paper presents a cloud-based Extract, Transform, Load (ETL) process model designed to facilitate the integration, processing, and analysis of biomedical signals. The study focuses on ...
This project implements an ETL (Extract, Transform, Load) pipeline in Python using DuckDB to process and analyze log records (in JSON format). The system extracts the data, calculates usage and ...
Abstract The following project develops a modern data warehouse using T-SQL through ETL tasks which handle hundreds of thousands of rows associated with the static GTFS (General Transit Feed ...
Abstract: This study aims to increase ETL process efficiency »ud reduce processing time by applying the method of Change Data Capture (CDC) in distributed system using Hadoop Distributed file System ...