According to the 2026 study, 82% of respondents perceive data engineering as important with at least 33% of respondents identifying its importance for every use case presented, and higher importance ...

The goal of engineering analysis is to use models of the real world to simulate and predict the performance of a design with confidence, explore design modifications, and inform downstream ...

In 2026, data engineering isn't just about managing data-it's about building intelligent systems that power business strategy. Companies are moving beyond batch warehouses to real-time, cloud-native ...

A fundamental divide between data engineering and business analytics complicates how organizations operate in a rapidly evolving digital environment. Enterprises manage unprecedented volumes of ...

Reliable flow data forms the foundation of every meaningful water resource study”— Joel Chaky BATON ROUGE, LA, UNITED ...

Northwestern Engineering’s Department of Computer Science and Department of Industrial Engineering and Management Sciences have launched a data science and engineering minor to provide McCormick ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

Lokesh is the Co-founder and CEO of Sigmoid, a leading data solutions company. He is a visionary and thought-leader in the industry. Data-driven abilities are at the core of an organization’s digital ...