Data Modeling Articles

Sara A. Metwalli

Updated on June 02, 2025

Use this roadmap to kickstart your data science career.

Sara A. Metwalli

Updated on May 29, 2025

There’s more to data science than data. These 4 skills will help you land (and keep!) that dream job.

Matthew Urwin

Updated on May 22, 2025

In finance, quantitative modeling is the practice of organizing and interpreting data sets with mathematical formulas to identify trends in the broader markets. Here’s why it’s important, its key characteristics and the tools it involves.

Edoardo Romani

Updated on May 22, 2025

There are a lot of resources to help you become a better data scientist. Here’s my experience with one of them — the good and the bad.

Taylor Rose

Updated on May 21, 2025

Take an inside look at how the distributed Atlassian data team builds cutting-edge tools through a team culture rooted in collaboration, teamwork and psychological safety.

Giorgos Myrianthous

Updated on January 30, 2025

A fact table contains the quantitative data of a business process. A dimension table contains qualitative data that provides context to fact table data. They make up the key components in star schema.

Mike Hyzy and Erik Krisko

Updated on January 02, 2025

By merging the methods of Scrum and CRISP-DM, you can meet the needs of both the data scientist and stakeholder. Here’s how.

Erik Brown

Updated on December 19, 2024

Synthetic data has the potential to speed up and improve the building of AI models. Here’s why it may overshadow real data models by 2030.

Thulasi Rangan Jayakumar

Updated on November 19, 2024

Multicollinearity is a common data analysis and statistics issue that can impact the accuracy and reliability of regression model results. Here’s how to address it.

Ted Lango

Updated on October 16, 2024

Without good data, AI is useless. Our expert explains how to make sure your data will support your AI plans.