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., ...
┌─────────────────────────────────────────────────────────────┐ │ FUENTE DE DATOS │ │ UCI Repository - Online Retail Dataset ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
Abstract: This paper presents a comprehensive framework for optimizing Extract, Transform, Load (ETL) pipelines using artificial intelligence (AI) techniques such as reinforcement learning and ...
In this special guest feature, Monte Zweben of Splice Machine outlines how traditional ETL processes are bursting at the seams with the volume of Big Data and ways to streamline the ETL pipeline.