Forbes contributors publish independent expert analyses and insights. The “exciting” things programmers like is making things happen — deep down, every programmer out there got their start because ...

Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this article, author Elakkiya Daivam ...

Inverse residual variance (IRV) weighting reduces noise and improves factor performance. Country and industry betas replace ...

Boosting real-time data and analytics capabilities is a top priority for business leaders looking to gain competitive advantage through faster insights and decision-making. However, many organizations ...