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 ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

Model drift is the degradation of data analytics model performance due to changes in data and relationships between data variables. ... without data, models have practically no business utility.

Pascal Desmarets recently spoke at Data Architecture Summit 2018 Conference about agile modeling and best practices for NoSQL databases.

This means that the model will struggle to generalize new data when given new data. Likewise, the model can behave in unexpected ways when provided a sparse dataset. Certain models might underestimate ...