Abstract: Data lakes are typically large data repositories where enterprises store data in a variety of data formats. From the perspective of data storage, data can be categorized into structured, ...

Reactivity is a powerful idiom for describing and combining functionality like web requests and data access. In general, we use producers and subscribers to describe asynchronous event sources and ...

I recently upgraded my project to Spring Boot 3.5.0, which required removing graphql-java-kickstart and migrating to Spring GraphQL. The existing GraphQL schema is quite complex, so manually defining ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The Spring ApplicationContext provides developers direct access to the Spring framework’s ...

The rise of artificial intelligence in recent years has been a non-stop gala for programmers, and one programming language—Python—has been the undeniable belle of the ball. Java and other languages ...

Before Spring introduced custom annotations, developers had to manage configurations like email validation using XML configuration files. The XML configuration would define beans, validators, and ...

Building web services and documenting RESTful endpoints is no easy task, but testing RESTful APIs has always been a particularly sore point with Spring Boot and Java. Sure, you can test a GET ...

When it comes to building microservices and applications that thrive in the cloud, developers are faced with a critical choice: which Java framework to use? Two standout options are Spring Boot vs ...