A data integration process that collects data from multiple sources, converts it into a standardized format, and loads it into a target system such as a data warehouse or database.

Dynamic predictive modeling using electronic health record data has gained significant attention in recent years. The reliability and trustworthiness of such models depend heavily on the quality of ...

Despite the title of this article, this is not an AWS Data Engineer Certification Braindump in the traditional sense. I do not believe in cheating. Traditionally, the term “braindump” referred to ...

Imagine being able to extract precise, actionable data from any website, without the frustration of sifting through irrelevant search results or battling restrictive platforms. Traditional web search ...

This project demonstrates how to build and automate an ETL pipeline using DAGs in Airflow and load the transformed data to Bigquery. There are different tools that have been used in this project such ...

Across the U.S., new AI-driven data centers are causing a significant increase in power demand. Carbon Direct projects that data center capacity in the U.S. will grow from roughly 25 GW in 2024 to 120 ...

This project implements an ETL data pipeline using Apache Airflow (Astro CLI) to automate the extraction, transformation, and loading of stock market data into a PostgreSQL database for analytics and ...