
Explore Spring Boot 3's latest features and best practices with expert Josh Long, enhancing your Java application development skills and productivity.

Explore PostgreSQL's capabilities as a powerful time series database, offering efficient data storage, querying, and analysis for temporal data applications.

Explore MELF: a novel approach for including multiple function variants in a single binary, enabling runtime switching for optimized performance across heterogeneous systems.

Explore latest Spring Data features: Java 8 streams, DSL, projections, and store-specific improvements for JPA, MongoDB, Neo4j, and Solr.

Explore Spring Data Couchbase 2.0.0's new features, including caching, session management, JSON querying, and multi-dimensional queries, all integrated with Spring Boot for enhanced development efficiency.

Explore building a meetup recommendation engine using Spring Data Neo4j, leveraging graph databases and Meetup.com's APIs to enhance event discovery and relevance.

Discover 10 productivity-boosting features in Spring Boot through live coding, covering common app functionalities and development enhancements for efficient application building.

Explore building a geospatial webservice using Kotlin and Spring Boot, leveraging PostgreSQL's advanced features for efficient and powerful application development.

Explore Spanner's scalable relational database capabilities through live coding demos, covering setup, schema design, and query optimization for handling terabytes of data efficiently.

Explore integrating Spark and Cassandra in Spring applications for powerful data analysis and storage. Learn implementation, pitfalls, and real-world usage of these technologies for large-scale data processing.

Explore Spring Data's evolution with Java 8 upgrades, lazy initialization, and reactive data access. Learn strategies for MongoDB infinite streams and other store-specific features.

Explore connected data using Spring Data Neo4j and Neo4j's Object Graph Mapper. Learn advantages, improve insights, and see practical examples with Paradise Papers dataset.

Explore reactive data access in Spring Framework 5.0, understanding driver mechanics, capabilities, and inner workings for building end-to-end reactive applications.

Explore R2DBC, a reactive API for relational database access. Learn its workings, benefits, and how it compares to similar projects in the realm of reactive programming.

Explore Spring Cloud Azure for scalable, data-driven apps with NoSQL, authentication, and messaging. Learn to enhance Spring-based applications using Azure's cloud services.

Explore GraphQL as a flexible alternative to REST APIs, learning its basics, implementation with Java and Spring Boot, and advantages in API development and consumption.

Explore building Spring Boot applications with Redis Stack, leveraging multiple data models and functionalities including document store, graph database, time series, and full-text search.

Explore Testcontainers integration with Spring Boot for seamless integration testing and local development, leveraging Docker containers to provide real services without complex setups.

Explore alternatives to Hibernate for database-centric applications. Learn how jOOQ and Java Records can simplify data access, improve performance, and avoid common ORM issues.

Explore jMolecules for expressing architectural patterns in Java, integrating with Spring, and generating high-level documentation to build evolvable and understandable software.

Implementación de búsqueda de similitud vectorial en aplicaciones Spring usando Redis Stack. Aprenda sobre embeddings, bases de datos vectoriales, vectorización de datos y métricas de similitud.