Batch Processing with MongoDB and Jakarta EE: From Customer Segmentation to Scalable Workflows
Build a Jakarta Batch job that reclassifies e-commerce customers into tiers on MongoDB, with a Jakarta Faces preview flow before execution.
Otavio Santana
Coming soon
6 articles
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Introduction to Retrieval-Augmented Generation with Java and MongoDB
Modern organizations store large volumes of information in documents, databases, internal platforms, support systems, policies, and …
Building AI Systems with MongoDB: Implementing the Planning Pattern
Artificial Intelligence has swiftly evolved from a niche research topic to a technology that impacts nearly every aspect of the software …
Introduction to CQRS using MongoDB
In enterprise environments, projects often begin with a simple structure: one model, one service, and one document, using a single class and …
Introduction to Behavior Driving Development with Java and MongoDB
When we face software development, the biggest mistake is about delivering what the client wants. It sounds like a cliché, but after …
Introduction to Data-Driven Testing with Java and MongoDB
Data-driven testing (DDT) is important because it enables you to validate business behavior across various scenarios without having to …
Java Virtual Threads in Action: Optimizing MongoDB Operation
Java 21's virtual threads simplify handling I/O-bound operations, allowing for massive concurrency with minimal overhead.