Learn how to define data requirements for effective data architecture, which is the structure and organization of data and its related resources.

Learn the differences and similarities between data modeling and data engineering, and how they complement each other in the data lifecycle.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

In the fast-paced field of High Performance Computing (HPC), the convergence of Artificial Intelligence (AI) and Big Data Analysis signals a groundbreaking ...

Big data, Hadoop, unstructured data, NoSQL, data architecture, and analytics news, analysis, trends, and research from Database Trends and Applications magazine.

In today's big story, a report by BI revealed that Scale AI exposed sensitive data about clients like Meta and xAI in public documents. The company has since said it's launching an investigation.

Network-as-a-service promises agility and efficiency, but its shared, dynamic nature demands a fundamentally new approach to ...

Project Overview This project demonstrates a hybrid ETL (Extract, Transform, Load) pipeline that integrates cloud-based sources (AWS S3, REST APIs) and on-premise/Hadoop-based data stores. The ...