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

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

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 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 how graph databases can optimize Dungeons & Dragons gameplay, maximizing rewards and minimizing risks. Learn to leverage GraphQL for strategic decision-making in role-playing games.

Explore the power of graph databases and connected data, from space engineering to investigative journalism, with insights on future applications in AI and machine learning.

Explore how connected data enhances AI accuracy and efficiency. Learn about real-world applications in space engineering and journalism, showcasing the power of relationship-focused approaches for informed predictions.

Explore graph databases, their advantages in handling connected data, and learn about Neo4J and its Cypher query language for efficient data modeling and querying in Python.

Explore graph databases for efficient data relationship management, focusing on Neo4J integration with Python and comparing it to relational databases and other graph solutions.

Explore how Gousto uses Python for menu planning optimization and personalized recommendations, leveraging genetic algorithms and graph databases to enhance customer experience and operational efficiency.

Explore Neo4j and graph databases, their use cases, and advantages over relational databases. Learn about property graph models, query languages, and practical applications in data analysis.

Explore hierarchies and graph processing in SQL Server 2019 using "Game of Thrones" examples. Learn best practices for transforming complex data structures into useful information.

Explore graph databases using IMDB data to calculate Bacon Numbers. Learn graph theory, database types, and practical applications with Azure Cosmos DB and Gremlin API.

Explore Cartography, an open-source tool for visualizing and securing cloud-native assets. Learn how to improve decision-making, track changes, and understand security risks across platforms.

Explore type safety in graph databases, focusing on SPARQL, Gremlin, and custom DSLs for efficient data traversal and error prevention in Scala.

Explore building billion-node graphs for machine learning, covering data ingestion, graph management, and algorithm execution at scale. Learn about challenges and solutions in handling massive datasets for GraphML research.

Explore data indexing using Ruby, graph databases, and bitmap stores to build a unique data engine, improving query speed and enabling cross-market analysis and harmonization.

Explore the architecture and components of Cayley, a Go-based graph database inspired by Freebase.com, including query languages, storage engines, and iterator trees.

Exploring Perseus: A tool for managing Go module dependencies at scale, addressing challenges in code navigation and version tracking for large-scale projects.

Explore building efficient GraphQL APIs with Neo4j GraphQL library, enabling native graph database integration and simplified development without writing resolvers.

Explore real-time data updates in Neo4j using GraphQL Subscriptions. Learn about this new feature in the Neo4j GraphQL Library and see a live demonstration of its capabilities.