Abstract: This paper presents a cloud-based Extract, Transform, Load (ETL) process model designed to facilitate the integration, processing, and analysis of biomedical signals. The study focuses on ...
Pew Research Center conducted this study to better understand teens’ use of social media, the internet and artificial intelligence (AI) chatbots. The Center conducted an online survey of 1,458 U.S.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
For this project, my primary responsibility was to set up the CI/CD pipeline and automate the database. The aim of my part was to automate the deployment of MySQL and MongoDB, run the ETL process ...
In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...
This chapter looks at Americans’ exposure to artificial intelligence and views on its use in their lives. How much have Americans heard about AI and how often do they think they interact with it? How ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
As the volume, velocity, and variety of data continue to accelerate, developers are facing a critical shift: data is no longer just stored and queried--it's constantly on the move. From traditional ...
The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative ...
Python’s popularity is surging thanks to AI, but also its power and ease of use. Editable installs for Python packages and the newly refined type hinting in Python 3.14 are just two examples, and the ...
[L]oad: The cleaned, transformed data is loaded into a users table within a MySQL database. The script automatically creates the table based on the DataFrame's schema if it doesn't already exist, ...