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 ...
This project develops a basic data pipeline for an event ticketing system, integrating CSV-based vendor feeds with a relational database. The system simulates how major ticket platforms manage direct ...
This repository contains three Python projects demonstrating automation, ETL workflows, and control-system logic simulation. They were designed to reflect a structured engineering mindset and to ...
Abstract: Data preparation, including extraction, transformation, and loading (ETL), is a critical yet resource-intensive process in modern data-driven systems, particularly with the increasing volume ...
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 ...
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