What once started as early analysis of singular data sources has now evolved into far more robust ways of analyzing information and the relationships between different fields and information sources.

Determine the criteria that are most important to the organization in a relationship database before testing products. Don’t buy anything with more bells and whistles than your charity truly needs.

Data Feminism, as conceptualized by D’Ignazio & Klein (2020), introduces intersectional feminism in data science and invites us to examine power relations and dynamics of oppression that are built ...

In today’s hyper-connected world, we’re seeing our environments become digital-first, where nearly every piece of consumers’ lives are online. Everything from banking to reserving parking spaces to ...

Most people find data privacy compliance to be complicated enough. So, when they encounter the concept of data mapping—something that isn’t an explicit requirement in any data privacy law—many find ...

Software architects face an important technical problem when they must decide how to best interact with backend database systems. The decision often comes down to the Hibernate vs. JDBC debate, as the ...