The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...
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 ...
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 ...
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