5-Minute Interview: Graph-Powered Machine Learning with Dr. Alessandro Negro
By Jocelyn Hoppa
August 13, 2020 4 mins read
Check out this 5-minute interview with Dr. Alessandro Negro, Chief Scientist at GraphAware, and author of Graph-Powered Machine Learning.
Keywords: 5-minute interview • Dr. Alessandro Negro • GraphAware • machine learning • neo4j
Monitoring Neo4j Servers and Clusters
By Corin Gainey
August 12, 2020 3 mins read
David Allen, Solution Architect at Neo4j, shares the many use cases and demonstrates the value of monitoring Neo4j servers and clusters.
Keywords: data science • GraphApp • neo4j • Neo4j Bolt • NODES 2019
Combating Money Laundering: Graph Tech Fights Serious Crimes
By David Penick
August 10, 2020 < 1 min read
Read the first blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.
Keywords: AML • artificial intelligence • machine learning • money laundering • natural language processing • Panama Papers
This Week in Neo4j – Covid Graph GraphQL API, Spring Data Neo4j 6 Experiments, CompoundDB4j
By Mark Needham
August 8, 2020 3 mins read
Discover what’s new in the Neo4j community for the week of 8 August 2020, including a GraphQL API on the Covid Graph.
Keywords: CompoundDB4j • Covid Graph • GraphQL • spring data neo4j • summer of nodes • twin4j
7 Quick Tips to Get More from the GDS Library [Tip Sheet]
By Jocelyn Hoppa
August 6, 2020 < 1 min read
Read this tip sheet to learn 7 more advanced tips to enhance your GDS Library experience and expand your data science the possibilities.
Keywords: data analytics • data science • graph algorithms • graph data science • graph visualization
Building a Graph of History with The Codex
By Allison Wu
August 5, 2020 13 mins read
Learn about how the Codex deeply integrates text and data by building a graph network of people, places, events and concepts embedded in texts.
Keywords: Codex • cypher • graph metamodel • graphconnect • meta-relations • Neo4j-client • standoff properties • statements • text-as-a-graph • XML
This Week in Neo4j – Exploring DBpedia with neosemantics, Graph Database Based Apps, New Elixir driver
By Mark Needham
August 1, 2020 4 mins read
Discover what’s new in the Neo4j community for the week of 1 August 2020, including Exploring DBpedia with neosemantics and an intro to Fabric.
Keywords: cypher • developer guides • Elixir • graph data science • Kubernetes • n10s • Neosemantics • twin4j
#GraphCast: How to Solve a Crime with Graph Theory
By Jessica Baumgardner
July 31, 2020 < 1 min read
Check out this week’s #GraphCast, featuring a brief explainer video on how graph theory could be used to solve crimes. Watch the video to learn more.
Keywords: crime data • crime network • data science • financial crime • fraud detection • graph database • GraphCast
Neo4j Bloom Tips and Tricks for Domain Knowledge Experts
By Enzo
July 29, 2020 9 mins read
Master graph data visualization in Neo4j Bloom from choosing a data model, fitting it to domain and exploring six generic patterns without needing to code.
Keywords: Bloom tips • data modeling • domain expert • graph data model • graph data visualization • graph visualization • Neo4j Bloom
Introducing Neo4j Partner Program: An Interview with Matt Connon
By Jocelyn Hoppa
July 27, 2020 7 mins read
Read this interview with Matt Connon to learn about the recent upgrades to the Neo4j Partner Program that expand benefits to our partner network.
Keywords: developing graph-based solutions • graph technology • matt connon • Neo4j partner program
Designing the Enterprise: HR Applications at Scale
By Corin Gainey
July 22, 2020 19 mins read
Read up on this GraphConnect talk to discover how EY employed a Neo4j graph database to design their enterprise HR application at scale.
Keywords: Big Data • Connected Data • data model • Data Visualization • graphconnect • HR application • human resources • organization design • organization mapping
From Know Your Customer to Know Your Network: A Paradigm Shift Empowered by Neo4j
By Jocelyn Hoppa
July 21, 2020 5 mins read
Discover how Neo4j shifted this company move to a “know your network” process to connect disparate data sources and conduct better analysis.
Keywords: ai • anti-money laundering • data lake • json • know your customer • know your network • Panama Papers • paradise papers • tax evasion
Rethink Your Master Data: From MDM to Innovation
By David Penick
July 20, 2020 < 1 min read
Read the final blog in Neo4j’s new five-part series on how Neo4j’s graph technology can help you rethink your master data.
Keywords: knowledge graphs • Master Data Management • MDM • metadata • nasa
Neo4j and Cloud Foundry
By Corin Gainey
July 16, 2020 20 mins read
Discover how Jenny McLaughlin, Pivotal, deploys applications and services faster with the help of Neo4j and Pivotal Cloud Foundry.
Keywords: Big Data • Connected Data • Google Cloud • graph technology • graphconnect • Kubernetes • microservices
Upgrade Your Graph Data Science Library Now (or Miss Out on Cool New Features)
By Jocelyn Hoppa
July 14, 2020 5 mins read
Learn about the newest features in Neo4j Graph Data Science library 1.3 released, and discover why you need to upgrade from the old algorithm library.
Keywords: centrality algorithms • community detection algorithm • data science • GDS library • graph algorithms • graph data science • graph embeddings • link prediction • multi-database • pathfinding algorithms
Building the Enterprise Knowledge Graph
By Jocelyn Hoppa
July 8, 2020 11 mins read
Learn how to build and implement an enterprise knowledge graph from the groun up using the Google Drive API and Neo4j Python.
Keywords: artificial intelligence • cypher • enterprise data • Knowledge Graph • knowledge management technology • machine learning • python
Introducing Drivine: Graph Database Client for Node.js and Typescript
By Jocelyn Hoppa
July 7, 2020 11 mins read
Last week, Liberation Data launched the v2.x stream of Drivine. Drivine is a client library for Node.js and TypeScript. It is designed to support multiple graph databases, simultaneously if you wish, and to scale to hundreds or thousands of transactions… Read more →
Keywords: cypher • Drivine • Neo4j Aura • node.js • Typescript
This Week in Neo4j – Flask User Auth, COVID-19: The Effect of the Seasons, GDS Graph Embeddings
By Mark Needham
July 4, 2020 4 mins read
Check out this week’s TWIN4J recap to learn about GraphQL Architect, a Neo4j graph app for building and deploying GraphQL APIs and more.
Keywords: covid-19 • flask • GRANDstack • graph data science • low-code • spring boot • twin4j
#GraphCast: What Is a Graph Database in 10 Minutes
By Jocelyn Hoppa
July 3, 2020 < 1 min read
Explore the world of graph technology in this week’s #GraphCast, featuring a high-level explainer of what a native graph database is in 10 minutes.
Keywords: ACID • graph data model • graph database • graph technology • Graph Theory • GraphCast • nodes • relationships • what is graph database
Getting Started with Neo4j Fabric
By Jocelyn Hoppa
July 2, 2020 7 mins read
Learn everything you need to know to get started with Neo4j Fabric, a new 4.0 feature allowing you to store and retrieve data in multiple databases.
Keywords: cypher • data federation • data sharding • fine-grained access control • multiple dbms • Neo4j 4.0 • Neo4j Desktop • Neo4j Fabric • querying multiple databases • running correlated subqueries
The Secret Sauce of Neo4j: Modeling and Querying Graphs
By Allison Wu
July 1, 2020 24 mins read
Learn about the secret sauce of Neo4j, and understand what graphs are all about. Delve into use cases such as recommendation engines and flight data.
Keywords: cypher • graphconnect • modeling • nosql • property graph model • Recommendation Engine • Relational Databases • secret sauce of Neo4j • sql • use cases
This Week in Neo4j – Neo4j 4.1 Released, Modeling Patient Journeys, Developing Instagram Clone
By Mark Needham
June 27, 2020 4 mins read
Check out this week’s TWIN4J blog round of the past week’s happenings in the world of graph technology and Neo4j, including modeling patient journeys.
Keywords: GRANDstack • memory management • Neo4j 4.1 • patient journey • twin4j
Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database
By Jocelyn Hoppa
June 25, 2020 6 mins read
Discover the benefits of a graph database via a story about auctioning off the Porsche 935 Paul Newman co-drove to a second place in the 1979 LeMans race.
Keywords: Big Data • data analytics • data science • fraud • graph database • machine learning • Paul Newman • relational database • social media • sql
Improving Patient Outcomes with Graph Algorithms
By Allison Wu
June 24, 2020 15 mins read
Learn about how AstraZeneca visualized patient journeys, answered important questions about prescriptions and diagnoses, and improved patient outcomes.
Keywords: betweenness algorithm • centrality algorithms • graph algorithms • graph modeling • graph technology • graphconnect • Healthcare • PageRank • patient journey • patient outcomes
Introducing Neo4j 4.1
By Jocelyn Hoppa
June 23, 2020 7 mins read
Learn about new features we’re introducing with Neo4j 4.1, including role-based access control and granular security, Causal Clustering and more.
Keywords: Causal Clustering • cypher • embedded causal clustering • granular security • graph database • lead transfer extensions • Neo4j 4.1 • query planner • role-based access control