
Explore building a federated Meetup recommendation system using Micronaut, integrating various databases and APIs for event-sourced data processing and reactive services.

Explore using multiple databases in an event-driven microservice architecture, leveraging Kafka and Debezium to replicate data across ElasticSearch, MongoDB, and Neo4j for optimal performance.

Explore graph databases: transform applications with connected data models. Learn creation, querying, and visualization techniques. Discover Cypher language basics and practical tools for interfacing with graph databases.

Explore PostgreSQL's evolution into a versatile database system, combining traditional RDBMS strengths with NoSQL features for enhanced scalability, JSON support, and advanced querying capabilities.

Learn to use Testcontainers for efficient integration testing with Docker. Explore real-world examples using Spring Boot, PostgreSQL, Redis, and Selenium to create reliable and cross-platform test environments.

Explore streaming data visualization techniques, from traditional approaches to dedicated solutions. Learn architecture blueprints and tools for real-time data analysis and presentation.

Explore graph databases for fraud detection in social security, featuring real-world examples and comparisons with traditional SQL databases. Learn implementation techniques and data quality considerations.

Explore change data capture with Debezium, an open-source solution for streaming database changes. Learn implementation, use cases, and how to maintain data correctness in various scenarios.

Explore key-value, document, columnar, and graph data models in NoSQL databases, understanding their differences and ideal use cases for modern data management.

Explore Redis with Spring Data: high availability, clustering, data structures, and seamless interaction using Spring Data Repository abstraction for efficient key-value store management.

Explore in-memory NoSQL databases for high-performance applications. Learn how Memcache, Redis, and Aerospike can enhance scalability, improve session storage, and enable autoscaling in your architecture.

Explore property graphs, Apache TinkerPop, and Gremlin query language to extract and discover relationships in connected data. Compare Gremlin queries with SQL and functional code equivalents.

Explore serverless microservices using AWS S3, API Gateway, Lambda, and Couchbase. Learn deployment strategies, Serverless Application Model, and live coding for efficient development and scaling.

Explore the latest Spring Data features, including Java 8 enhancements, JPA improvements, and updates for MongoDB, Neo4j, and Solr. Learn about release trains and web projections.

Explore the evolution of NoSQL databases and the rise of multi-model solutions, focusing on OrientDB's innovative approach to combining various data models for enhanced flexibility and efficiency.

Explore PostgreSQL's evolution into a NoSQL-like database, featuring JSON support, scalability improvements, and advanced querying capabilities for modern data management needs.

Explore change data capture with Debezium for real-time data streaming in microservices. Learn implementation, use cases, and live demo of setting up streams without code changes.

Enhance TDD/BDD practices with practical solutions for common issues, focusing on test speed, communication, setup, and mocking. Learn to make test-driven development easier and more effective.

Explore Git's potential as a NoSQL database, leveraging its unique features for deduplicated storage and automatic history tracking. Learn benefits, drawbacks, and implementation techniques.

Explore building a scalable streaming data platform using Clojure, Kafka, and Cassandra. Learn key concepts and live-code a system that handles high-volume, real-time data processing efficiently.

Explore advanced Nginx features beyond basic web serving: Memcached/Redis integration, proxy functionality, GeoIP, Lua scripting, MogileFS, headers manipulation, and database querying for enhanced performance and functionality.