Getting access to the right data in the right amounts remains a major obstacle for a range of digital endeavors, from developing AI models to testing software applications. If you find yourself short ...

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

Designing a data model that supports the reporting and analytical functions is no different, initially, than any other modeling effort. Understanding the data is crucial. The data architect or modeler ...

Learn Power BI basics in this beginner tutorial. Master the interface, connect data sources, clean data, and build your first data model.

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

If you want to treat your database design as an 'implementation detail' that just falls out of getting your object model right, then Entity Framework gives you four choices. Picking the right one, ...

Over the past decade, firms have taken the plunge to become data driven. They have amassed data, invested in technologies, and paid handsomely for analytical talent. Yet for many, a strong, data ...

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

Creating a financial model for your business may seem straightforward. However, it is actually a tedious never-ending exercise. Companies are expected to produce these quarterly.

A logical data model should be used as the blueprint for designing and creating a physical database. But the physical database cannot be created properly with a simple logical to physical mapping.