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.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

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 ...

I urge our readers to have a look at the “Vietnam of Computer Science” by Ted Neward, which compares the quagmire of the Vietnam War to the current quagmire that results from our attempts to blend ...

Database normalization is the cornerstone of database theory. Once a database is normalized, relationships between the data in multiple tables must be established. A hefty part of designing a ...

In our recent webinar, It’s Time to Think About Data Mapping Differently, a poll revealed some interesting information: Nearly 50 percent of respondents house their data map in a spreadsheet. (Roughly ...

The EU’s General Data Protection Regulation (GDPR) has changed the way the world approaches data privacy—and without the ability to map your data, it’ll be challenging or impossible to build a ...

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 ...