In this article, we’ll walk you through what Microsoft covers (and what it doesn’t), explore real-world data loss scenarios, ...

In the realm of data modeling, many-to-many relationships are often considered an "odd duck." Unlike one-to-one or one-to-many relationships, which can be directly implemented in physical database ...

In the top-down approach, data modeling and governance take priority and are the first steps in developing a framework. The process begins with data professionals applying well-defined ...

Are there any restrictions in the DDL schema on how many columns I can train? Whenever the number of columns in a table exceeds 40, the model doesn't train or is unable to find the training data. When ...

This paper is devoted to describe a methodology for schema integration. An enriched entity relationship model is chosen as the data model. The integration process consists of three steps: first, ...

However, challenges arise from the nonlinearity and hysteresis of soft materials, coupled with their infinite degrees of freedom, complicating the sensing, modeling, and control of these robots.

Dataframely is a Python package to validate the schema and content of polars data frames. Its purpose is to make data pipelines more robust by ensuring that data meets expectations and more readable ...