Turn Your JSON into a Graph in 2 Lines
Explore Asami, an open-source graph database with flexible data structures, functional operations, and easy JSON-to-graph conversion. Learn its architecture and novel graph analysis capabilities.
I Have a Graph Database. Now What?
Explore practical applications and insights for leveraging graph databases effectively in cybersecurity and network analysis contexts.
Meetup Recommendations with Micronaut
Explore building a federated Meetup recommendation system using Micronaut, integrating various databases and APIs for event-sourced data processing and reactive services.
ElasticSearch, MongoDB and Neo4j Walk Into a Bar - A Tale of Different Databases
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.
Get to Know the Real World - Discovering Connected Data
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.
Fighting Fraud with Graph Databases
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.
I Have a NoSQL Toaster
Explore key-value, document, columnar, and graph data models in NoSQL databases, understanding their differences and ideal use cases for modern data management.
Connect and Give Sense to Your Big Data with Apache TinkerPop and Graph Databases
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.
What's New in Spring Data
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.
OrientDB - The 2nd Generation of MultiModel NoSQL
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.
How to Choose the Right Database for Your Application
Explore database types, their strengths, and use cases to make informed choices for your application's data management needs in this comprehensive overview.
RIAK Use Cases - Dissecting the Solutions to Hard Problems
Explore RIAK's solutions for complex problems in NoSQL databases, focusing on tunable consistency, active anti-entropy, and application layer timestamps for distributed systems.
Polyglot Data
Explore diverse data models and their applications in solving complex problems. Learn to choose the right approach for each scenario, avoiding accidental complexity in software development.
What Finance Can Learn From Dating Sites
Explore how finance can leverage data-driven techniques from dating sites for improved matching, risk analysis, and fraud detection using graph databases and sophisticated algorithms.
Let Me Graph That For You
Explore graph databases for modeling complex, connected data. Learn about Cypher query language, fraud analysis, and path-based operations through real-world examples.
NoSQL Distilled
Explore NoSQL databases, their data models, distribution options, and implementation details using Riak, MongoDB, Cassandra, and Neo4J. Learn about schema-less models and evolutionary design with schema migration.
Using Graph Database Technology to Resolve Transitive Vulnerabilities at Scale
Explore how graph database technology resolves transitive vulnerabilities in open source dependencies, with insights on ecosystem-specific challenges and a Neo4j demo for efficient problem-solving.
Advancing Internet Security Research with Big Data and Graph Databases
Explore innovative approaches to internet security research using big data and graph databases, focusing on data sources, prototypes, and research development pipelines.
What the Graph
Explore graph databases, focusing on Neo4j for storing interconnected data. Learn to access and manipulate data using Neo4j Object Graph Mapper and Spring Data Neo4j, discussing their benefits and limitations.
Discover the Power of Graph Databases
Explore graph databases' power in understanding complex data relationships. Learn use cases, theory, data science applications, and common pitfalls from industry experts in this insightful interview.
Discover the Power of Graph Databases
Explore graph databases with experts Jim Webber and Nicki Watt. Learn about their potential, real-world applications, and how to leverage graphs for better data understanding and analysis.