What Business Can Learn from Dating
Explore innovative data handling techniques from online dating platforms using graph databases and algorithms to improve customer service, retention, and fraud prevention in business.
Working on Cancer
Exploring whole genome sequencing for cancer treatment using Clojure, Neo4j, and domain-specific languages. Discusses challenges, solutions, and non-traditional team approaches in clinical settings.
Cypher Sleuthing - Tips and Tricks for Querying a Graph Database
Explore graph database querying techniques, Cypher language essentials, and APOC library usage to optimize performance and avoid common pitfalls in graph data manipulation.
Bootiful Multi Model Applications with Redis Stack
Explore building Spring Boot applications with Redis Stack, leveraging multiple data models and functionalities like document store, graph database, and full-text search through Redis OM Spring.
How Graph Data Science Can Turbocharge Your Knowledge Graph
Explore how Graph Data Science enhances Knowledge Graphs, offering powerful insights through centrality algorithms and node embeddings. Learn applications in drug discovery and get started with Neo4j.
Dungeons, Dragons, and Graph Databases
Explore graph databases through a D&D lens. Learn how to model complex relationships, write efficient queries, and optimize your dungeon crawl using this powerful database technology.
Sharing 2 Years Experience Using Scala in a Real Project by a Java Team
Insights and experiences from a Java team's 2-year journey adopting Scala/Akka, covering best practices, pitfalls, and lessons learned in functional programming and interoperability with Java and Groovy.
Graph Databases and the Panama Papers
Explore the Panama Papers leak using graph databases, focusing on how ICIJ utilized this technology to analyze 3TB of data and provide an accessible interface for investigative journalists.
Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs
Explore advanced cardinality estimation techniques for graph databases, focusing on optimistic and pessimistic estimators through cardinality estimation graphs and their practical applications in query optimization.
Using Bloodhound as a Defender: Tips from the Red Team
Discover how to leverage BloodHound from a red team perspective to identify and remediate critical Active Directory security flaws, with practical insights using the new ad-recon automation tool.
Graphing Your Way Through the Cosmos - Common Data Problems Solved with Graphs
Explore graph databases, their advantages over relational models, and practical applications using Gremlin API in Azure Cosmos DB for solving common business data challenges.
Running Atomic Transactions Across Multiple Data Models
Explore advanced Redis features: modules for custom data models and transactions for atomic operations across multiple data structures. Learn to leverage Redis ecosystem for scalable solutions.
How Knowledge Graphs Help Generative AI Models Answer Questions
Discover how Knowledge Graphs enhance RAG patterns in LLMs, improving accuracy and relationship mapping for more precise AI responses across finance and healthcare applications.
Revolutionizing Fraud Prevention - Harnessing AI and ML to Safeguard Banking from Fraud
Discover how AI and machine learning technologies transform banking fraud prevention, from rule-based systems to advanced self-learning models, OCR validation, and innovative NLP solutions for enhanced security.
Introduction to Graph Databases
Explore graph databases, their comparison to relational databases, and ideal use cases. Learn about property graphs and gain resources for further study in this informative introduction.
Graphs Are Everywhere - Understanding Graph Databases and Social Graphs
Explore graph databases and their applications in social networks, analytics, and decision-making. Learn about their scalability, performance, and advantages over traditional databases for interconnected data.
Dungeons, Dragons, and Graph Databases
Explore graph databases through a D&D-inspired example. Learn to model complex relationships, write efficient queries, and optimize data structures for adventurous problem-solving.
Thoughts and Practices of Apache HugeGraph in Open Source Graph Databases
Explore Apache HugeGraph's journey in open-source graph databases. Learn about its features, Apache Foundation integration, community operations, and strategies for efficiency and cost control in graph database systems.
Contextualizing Time Series Data with Graphs in Kusto
Explore Kusto's graph capabilities in Azure Data Explorer, learning to create and query graphs with intuitive syntax for enhanced time series analysis.
Monkey Business for Serious Systems: Why Chaos Engineering Isn't Crazy
Explore chaos engineering's role in uncovering system vulnerabilities and enhancing resilience. Learn to simulate real-world failures, identify weaknesses, and build robust infrastructures.
Large Language Model Training: Tackling Data Challenges
Explore expert tips on tackling data challenges in large language model training, covering use cases, tools, and knowledge graphs.