Bienvenida

Este podcast ofrece una experiencia entretenida con conversaciones dinámicas, música y temas de interés para todo tipo de oyentes. Explora cultura, actualidad y momentos divertidos con un estilo cercano y relajado. Perfecto para quienes disfrutan del ambiente clásico y moderno de la radio.

This podcast explores how graph databases are enabling the next generation of low-code and no-code application development. It discusses how connected data models simplify application design, accelerate development cycles, and reduce backend complexity. Perfect for developers, product managers, solution architects, and anyone interested in faster and more intuitive software creation.

This podcast explores practical experiences of integrating Quarkus with Neo4j in real-world applications, focusing on performance, scalability, and developer productivity. It discusses reactive architectures, live-coding demonstrations, and best practices for building cloud-native graph applications. Perfect for Java developers, backend engineers, software architects, and anyone interested in mode...

This podcast explores how to build and deploy scalable applications using Neo4j Aura, a fully managed graph database service on Google Cloud. It discusses cloud-native architecture, deployment strategies, performance optimization, and best practices for integrating Aura into modern application stacks. Perfect for cloud engineers, backend developers, solution architects, and anyone building graph-p...

This podcast explores how developers can rapidly move from idea to production-ready applications using Spring, Neo4j, and JHipster. It discusses full-stack development workflows, automated scaffolding, and best practices for integrating graph databases into modern application stacks. Perfect for backend developers, full-stack engineers, and software architects aiming to accelerate delivery without...

This podcast explores the critical relationship between data modeling and algorithm design when building data-driven applications. It discusses how data structures influence analytical outcomes, the trade-offs between model-first and algorithm-first approaches, and strategies for creating scalable, effective solutions. Perfect for data scientists, software architects, developers, and technology pr...