Data modeling best practices give structure and direction to an organization's data. Read more about data modeling now.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Data modeling does not excite passion within programmers. Your average Java or Python developer probably doesn’t even realize that they are doing it when they write programs, in great part ...

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

Learn how to use the Excel PowerPivot functionality for data modeling in data analysis in your spreadsheets. Once mastered this function ...

Predictive modeling uses known results to create, process, and validate a model that can be used to forecast future outcomes.

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

You would think that with the towering importance of data in today's modern organization that data modeling would be viewed as extremely important by management and IT professionals, so it is somewhat ...

Microsoft is acquiring ADRM Software and plans to combine its Azure compute and storage technology with its large-scale vertical data models.