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 ...

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., ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...

Abstract: Cloud-based data pipelines are critical for large-scale ETL and big data analytics, yet in-efficient scheduling leads to high costs and resource underutilization. Traditional approaches, ...

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 ...