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 ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Databases were traditionally highly specialized data stores that were designed for specific tasks and until recently, they've been getting even more specialized. Recall data warehouses? Somebody once ...

Unlock the potential of your data with this insightful white paper. It delves into the world of enterprise data modeling, showcasing how it not only drives business value but also forms the bedrock of ...

Decipad, a no-code startup that’s aiming to disrupt spreadsheets with accessible tools that empower people to play around with numbers, has nabbed $5 million in seed funding. Put simply, it’s building ...

In 2016, when Microsoft announced its makeover of its CRM and ERP strategy in the form of Dynamics 365, officials started talking up the Common Data Model (CDM), which was the heart of those services.

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

We propose a varying-coefficient panel-data model with unobservable multiple interactive fixed effects that are correlated with the regressors. We approximate each coefficient function using B-splines ...

Rainfall is a critical component of climate governing vegetation growth and production, forage availability and quality for herbivores. However, reliable rainfall measurements are not always available ...

RavenDB, a multi-model NoSQL document database trusted by developers and enterprises worldwide, is introducing its AI Agent ...