Brands can challenge Meta’s automation by surfacing product-level trends, aligning them with purchase behavior, and ...

The promise of the new agents is to solve the fragmentation problem that plagues finance departments. Unlike a sales leader ...

The repository is structured to mirror real industry data engineering patterns. Repository Structure WEATHER_ETL_PIPELINE/ .venv/ config/ init.py settings.yaml data/ weather.db daily_summary/ ...

Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...

Abstract: Data value creation is crucial in a data warehouse environment, where the ETL process is used as a tool to reduce data redundancy. This research presents a model of data value creation ...