As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and mul­tiplied. Instead of just ...

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 ...

Data modeling is the process of defining datapoints and struc­tures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

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

University of California Health and the California Department of Public Health will launch a data modeling consortium to help hospital administrators and public health officials make decisions based ...

Model-based systems engineering is quietly, but consistently, becoming an important part of the design, maintenance, and cybersecurity of the federal government’s most complex IT platforms. MBSE ...

As designs move beyond System-on-Chip (SoC) to more complex System-of-Systems (SoS), it’s essential for design teams to effectively verify that these systems function together as intended.

Modeling complex systems When studying complex biological systems such as the immune system, scientists can extract many different types of data. Sequencing cell genomes tells them which gene variants ...