#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.
Explore: ACID • graph data model • graph database • graph technology • Graph Theory • GraphCast • nodes • relationships • what is graph database
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.
Explore: Big Data • data analytics • data science • fraud • graph database • machine learning • Paul Newman • relational database • social media • sql
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.
Explore: Causal Clustering • cypher • embedded causal clustering • granular security • graph database • lead transfer extensions • Neo4j 4.1 • query planner • role-based access control
Data Science and Graph databases. Q&A with Alicia Frame
By ODBMS - June 3, 2020
Explore: alicia frame • data science • graph database
Graph-Powered Recommendations: A Framework for Faster Development
By David Penick
June 1, 2020 3 mins read
Read blog three in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: blog series • graph algorithms • graph database • graph powered recommendation • graph recommendation engine • Neo4j Recommendation Framework • Personalization • personalized recommendations • Recommendation Engine
Unlimited Possibilities: 5-Minute Interview with David Mohr
By David Penick
May 29, 2020 3 mins read
In this week’s five-minute interview with David Mohr (conducted at GraphTour NYC 2019), we discuss how Neo4j helps new users learn graph technology.
Explore: 5-minute interview • blog • consul • data model • Data Visualization • graph database • graph technology • graph visualization • GraphTour • Neo4j Bloom
Lifting lockdown: the emerging role of the contact tracing app
By Computing - May 11, 2020
Explore: contact tracing • government • graph database • Jim Webber
Graph Databases for Beginners: The Basics of Graph ETL
By Bryce Merkl Sasaki
May 12, 2020 7 mins read
Learn how ETL tools (extract, transform, load) work, including the basics of graph ETL, which converts relational databases to graph databases.
Explore: convert databases • etl process • etl tools • Extract Transform Load • graph database • graph etl • neo4j etl tool • rdbms to graph • relational database • sql to cypher
Practical Applications of Neo4j 4.0
By Jocelyn Hoppa
May 7, 2020 12 mins read
Learn about practical applications in the newly released Neo4j 4.0, with our partner GraphAware using specific examples to showcase the benefits.
Explore: granular security • graph algorithms • graph database • GraphAware • GraphTour • Knowledge Graph • machine learning • multi-database • Neo4j 4.0 • Scalability
Financial Fraud Detection with Graph Data Science: Identifying First-Party Fraud
By David Penick
April 27, 2020 2 mins read
Read blog three on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: AI / Machine Learning • blog • cypher • data lakes • data science • Financial Fraud Detection • Fraud Rings • Graph Algorithm • graph database • graph technology
Graph Databases: The Key to Groundbreaking Medical Research
By Pharmafield - April 21, 2020
Explore: alicia frame • GDS • graph database • Graph datascience • Medical
#GraphCast: Getting Started with Arrows
By Jocelyn Hoppa
April 24, 2020 < 1 min read
Check out this week’s #GraphCast, which features a quick tutorial on the Arrows tool, which is an easy yet effective way to do graph data modeling.
Explore: arrows • data modeling • database sharding • graph database • GraphCast • horizontal scalability • Neo4j 4.0 • Scalability
Graphs and the Strategic Response Efforts to COVID-19
By Jocelyn Hoppa
April 20, 2020 4 mins read
Discover graph-powered COVID-19 projects, how Neo4j is supporting these efforts, and also learn how to get involved or receive support.
Explore: Connected Data • contact tracing • coronavirus data • covid-19 • drug repurposing • graph database • Neo4j Aura • neo4j graphs4good • pandemic
Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering
By David Penick
2 mins read
Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • betweeness centrality • community detection algorithm • cypher • cypher queries • data science • Financial Fraud Detection • fraud detection • graph algorithms • Graph Analytics
Financial Fraud Detection with Graph Data Science: Augment Your Approach
By David Penick
April 13, 2020 3 mins read
Read blog 1 on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: community detection algorithms • Financial Fraud Detection • graph data analysis • graph data science • graph database
#GraphCast: Unlimited Scalability with Neo4j 4.0
By Bryce Merkl Sasaki
April 10, 2020 2 mins read
Check out this week’s #GraphCast, featuring a short video about the database scalability, sharding and federation capabilities now available in Neo4j 4.0.
Explore: database federation • database sharding • graph database • GraphCast • horizontal scalability • Neo4j 4.0 • Responsible AI • Scalability • Silicon Valley • vertical scalability
Announcing Neo4j for Graph Data Science
By Jocelyn Hoppa
April 8, 2020 7 mins read
Discover the benefits of the Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships.
Explore: ai • Analytics • artificial intelligence • Bloom • data scientists • graph algorithms • Graph Analytics • graph data science • graph database • graph visualization
Neo4j Extends Graph Databases to the Relational World
By ITProToday - April 1, 2020
Explore: BI • bi-connector • business intelligence • graph database
Detecting Cryptocurrency Fraud with Neo4j
By Jocelyn Hoppa
March 30, 2020 7 mins read
As cryptocurrency is likely to play a big role in the future of finance, link analysts need graph visualization fraud detection tools that are up to the job.
Explore: Bitcoin • blockchain • cryptocurrency • fraud • fraud detection • graph database • graph visualization • neo4j
Getting Started with the Neo4j BI Connector
By Jocelyn Hoppa
March 24, 2020 8 mins read
Learn how to get started with the Neo4j BI Connector, which provides easy access to Neo4j datasets from popular BI tools like Tableau and more.
Explore: APOC library • BI • BI Driver • bi-connector • bolt • business intelligence • cypher • data connections • Data Visualization • graph database
The Future of the Intelligent Application: Business Agility
By Deb Cameron
March 23, 2020 4 mins read
Learn more about how Neo4j 4.0 provides business agility by design to your applications through multi-database and cloud deployment options.
Explore: agility • application architecture • Aura • business agility • business applications • cloud • development life cycle • graph database • multi-database • Neo4j 4.0
Why Leading Telecoms Use Neo4j: The 5-Minute Interview with Jesús Barrasa, Global Director of Telecoms at Neo4j
By David Penick
March 20, 2020 5 mins read
In this week’s five-minute interview with Jesús Barrasa (conducted at GraphTour NYC 2019), we discuss how graph technology helps the telecoms world.
Explore: 5-minute interview • blog • data integration • data model • graph database • Internet of Things • IoT • neo4j • RDF • telecom
Machine Learning Algorithms
By Corin Gainey
March 18, 2020 11 mins read
Lauren Shin, Neo4j Developer Relations Intern, introduces machine learning and offers three approaches to better analyze ML data.
Explore: artificial intelligence • Connected Data • data model • Data Visualization • Graph Analytics • graph database • graph visualization • graphconnect • machine learning • neo4j
The Future of the Intelligent Application: Granular Security
By Deb Cameron
March 17, 2020 4 mins read
For the third installment of this four-part blog series, we will discuss how Neo4j 4.0 provides powerful robust, granular security.
Explore: App development • cybersecurity • data governance • data privacy • dev • graph database • identity access management • intelligent application • schema
#GraphCast: Responsible AI
By Jocelyn Hoppa
March 13, 2020 < 1 min read
This week’s #GraphCast features Responsible AI where Amy Hodler discusses ethical development and application of artificial intelligence and technology.
Explore: artificial intelligence • ethical AI • graph database • GraphCast • Responsible AI • responsible technology