Everyday interest

This podcast explores how knowledge graphs can be used to organize, connect, and analyze geospatial data for deeper location-based insights. It discusses spatial relationships, mapping data integration, geographic context modeling, and real-world applications in logistics, urban planning, and mobility. Perfect for data scientists, GIS specialists, and engineers working with location intelligence and connected spatial systems.

This podcast explores how to quickly build GraphQL APIs using the Neo4j GraphQL Library and leverage graph data for powerful backend applications. It discusses schema design, auto-generated resolvers, query optimization, and how GraphQL integrates naturally with graph databases. Perfect for backend developers, full-stack engineers, and API designers looking to accelerate development with Neo4j and GraphQL.

This podcast explores how Neo4j Bloom enables intuitive and visual exploration of graph data without requiring deep query knowledge. It discusses interactive graph visualization, natural language search, data discovery, and how Bloom helps uncover insights hidden within complex relationships. Perfect for analysts, business users, and data professionals who want to explore connected data in a more visual and accessible way.

The small things we enjoy each day often reveal more about us than we realize. In this episode, we explore how hobbies, habits, and simple interests shape personality and lifestyle. Discover why everyday passions play a bigger role in happiness than we often notice.

This podcast explores the evolution of hypertext systems and how collaborative technologies are reshaping the way people create, share, and connect information. It discusses linked data, real-time collaboration, distributed knowledge systems, and the tools that enable seamless teamwork across digital environments. Perfect for developers, designers, researchers, and innovators interested in the future of collaborative web technologies.

This podcast explores how to rapidly build and deploy GraphQL APIs using the SST (Serverless Stack) framework. It discusses serverless architecture, infrastructure-as-code, API design, deployment automation, and best practices for scalable backend development. Perfect for backend developers, full-stack engineers, and cloud practitioners looking to streamline API delivery with modern tools.