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 ...

With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...

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 ...

The mini project centers around optimizing an existing PySpark script (original_optimize.py). The script performs a query that retrieves the number of answers per question per month. The original ...

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 ...