Abstract: ETL (Extract, Transform, Load) pipelines are an essential part of real-time data warehousing because they help businesses process and analyze large volumes of data quickly. However, building ...
Abstract: This study proposes an automated quantitative content analysis algorithm, implemented in Python, to optimize the item generation process of adolescent stressor measurement tools and to ...
In this group project simulating a real-world setting, we built a scalable ETL pipeline to process daily CSV transactions into a centralized PostgreSQL database. We used Docker, Grafana for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results