Overview: Functional programming prevents unintended data changes, reducing errors in large systems.Pure functions improve testing accuracy because outputs depe ...

What if the database you rely on could handle writes four times faster without sacrificing simplicity or reliability? For years, SQLite’s single-writer limitation has been both its strength and ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The Google Cloud Professional Data Engineer exam validates your ability to design, build, and ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...

The Trump administration wants you to drink whole milk — here's what actual health experts want you to know 'It's telling us there's something big going on': Unprecedented spike in atmospheric methane ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

IT architects tasked with the design of storage systems for artificial intelligence (AI) need to balance capacity, performance and cost. AI systems, especially those based on large language models ...

The original version of this story appeared in Quanta Magazine. Sometime in the fall of 2021, Andrew Krapivin, an undergraduate at Rutgers University, encountered a paper that would change his life.

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible. Sometime in the fall of 2021, Andrew ...