Neo4j - Graph Database - Tutorial
Learn graph database concepts, Neo4j, and Cypher query language. Explore relationships, constraints, functions, and algorithms for efficient data management and analysis.
Neo4j Graph Database & Cypher
Learn Neo4j graph database and Cypher query language. Create nodes, relationships, labels, and properties. Explore installation, Cypher interface, querying, and relationship management in this concise tutorial.
Graph Analysis of Russian Twitter Trolls Using Neo4j
Explore graph analysis of Russian Twitter trolls using Neo4j. Learn about data collection, NLP, graph algorithms, and visualization techniques to uncover social media influence patterns.
Intro to Graph Databases Series
Explore graph databases: their unique properties, advantages over RDBMS, and applications. Learn data modeling, querying with Cypher, and Neo4j basics for efficient problem-solving.
Bite-Sized Neo4j for Data Scientists
Learn Neo4j for data science: connect to databases, use Python drivers, write Cypher queries, import data, perform graph analytics, and compare with SQL databases.
ODSC West 2015 - Fundamentals of Neo4j
Learn Neo4j fundamentals and Cypher query language in this workshop. Explore graph database advantages, syntax basics, and advanced querying techniques for efficient data modeling and analysis.
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.
Graph Databases - A Little Connected Tour
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.
CypherGUI - Simplifying Graph Database Administration
Simplify graph database management with CypherGUI, an open-source app offering intuitive interface and powerful features for users of all skill levels.
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.
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.
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.
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.
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.
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.
Dungeons, Dragons, and Graph Databases
Explore graph databases through a D&D-inspired example, comparing relational and graph approaches for modeling dungeons, and learn to optimize data queries for adventurers.
Dungeons, Dragons, and Graph Databases
Explore graph databases through a D&D-inspired example, comparing relational and graph approaches for modeling dungeons, and learn to optimize data queries for adventurers.
Kùzu - A Fast, Scalable Graph Database for Analytical Workloads
Discover how to build and analyze knowledge graphs using Kùzu, an open-source graph database. Learn practical implementations, from data transformation to running Cypher queries and training graph neural networks for advanced RAG systems.