The Future of the Intelligent Application: Why Graph Technology Is Key
By Patrick Wall
March 2, 2020 6 mins read
Read the first installment in our series on the future of the intelligent application, which shows the emerging requirements for these applications.
Keywords: centrality algorithms • graph algorithms • graph data science • graph database • intelligent applications
Performant Queries on Highly Connected, Growing Data
By Allison Wu
February 26, 2020 24 mins read
Querying networks in relational databases is often unintuitive. Explore how to use labels and leverage stored procedures for performance improvements.
Keywords: declarative procedures • graph database • graphconnect • imperative procedures • networks • patent data • queries • Relational Databases • relationships • stored procedures
Part 1: Using Neo4j in Business Process Modeling Scenarios
By Jocelyn Hoppa
February 13, 2020 7 mins read
When people think about Neo4j and problems it’s good at solving, there’s a pretty wide range of use cases that come to mind: recommendation engines, fraud ring detection, bills of materials, social network scenarios, multi-level marketing systems, asset management and… Read more →
Keywords: APOC • business process management • Business Process Model • business process modeling • data model • neo4j • rdbms • role-based access control
Introducing Neo4j Graph Database 4.0 [GA Release]
By Jocelyn Hoppa
February 4, 2020 9 mins read
It’s here – the official GA release of Neo4j graph database 4.0! Read this blog by Neo4j Chief Scientist Jim Webber to learn everything you need to know.
Keywords: cypher • cypher-shell • Flux • graph technology • java • milestone release • ML • multi-database • Neo4j Fabric • neo4j graph database 4.0
Connecting Healthcare
By Allison Wu
January 28, 2020 20 mins read
Learn about connecting healthcare data, including its challenges and how graph databases might be able to help solve healthcare’s wicked problems.
Keywords: artificial intelligence • Connected Data • data silos • data variability • Graph Databases • graphconnect • Healthcare • integration • machine learning • Relational Databases
Graph Databases for Beginners: Wait, What Do You Mean by “Graph”?
By Jocelyn Hoppa
December 16, 2019 8 mins read
Learn the difference between a graph and a chart, including the basics of nodes and relationships as well as graph theory and its application to databases.
Keywords: chart • Connected Data • data model • graph • graph data model • graph database • graph technology • Graph Theory • network • relational database
Capturing Relationships: 5-Minute Interview with Forrest Swope
By David Penick
November 8, 2019 4 mins read
Check out this interview with Forrest Swope, Manager of Data Operations at UVA, who uses Neo4j to illuminate why students do or don’t thrive.
Keywords: 5-minute interview • graph database • graph relationships • graph technology • neo4j • relational database
GraphConnect 2020: Call for Papers Closing November 15
By Jocelyn Hoppa
October 17, 2019 2 mins read
Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.
Keywords: call for papers • graph database • GraphConnect 2020 • neo4j • Neo4j Community
How Boston Scientific Improves Manufacturing Quality Using Graph Analytics
By Corin Gainey
October 16, 2019 23 mins read
Editor’s Note: This presentation was given by Eric Wespi and Eric Spiegelberg at GraphConnect New York in September 2018. Presentation Summary We’re going to talk about some project themes that make sense when you’re going about developing a graph project.… Read more →
Keywords: artificial intelligence • Connected Data • cypher • graph database • GraphAware Hume • graphconnect • Hume • machine learning • neo4j • nlp
Bringing the Newly Approved GQL Project Into Focus
By Jocelyn Hoppa
September 30, 2019 4 mins read
Learn more about the recently approved GQL project to to create a new declarative property graph query language and next steps.
Keywords: database languages • GQL • GQL Project • GQL standard • ISO/IEC JTC1 • property graph query language • sql
SQL Server Advocate Turns Graph:
5-Minute Interview with Dee Pandian
By David Penick
September 20, 2019 3 mins read
Check out this 5-minute interview with Dee Pandian, Deputy Director of CyForce at Jacobs Engineering about making the switch from SQL to graphs.
Keywords: CyForce • Dee Pandian • ETL tool • facebook • graph database • GraphTour DC 2019 • Jacobs Engineering • linkedin • neo4j • Neo4j ETL
GQL Is Now a Global Standards Project alongside SQL
By Jocelyn Hoppa
September 16, 2019 4 mins read
Learn how Graph Query Language (GQL) has just been approved to become an international standards project and what’s next for this graph database tech.
Keywords: cypher • GQL • graph query language • IT standards • ldbc • open source • opencypher • property graph • sql • WG3
It’s All in the Relationships: 15 Rules of a Native Graph Database
By Jocelyn Hoppa
September 9, 2019 4 mins read
Learn all the rules of what makes up a native graph database and its deep search advantages over NoSQL relational databases.
Keywords: ACID • cypher • graph database platform • index free adjacency • labeled property graph • native graph database • neo4j • nosql • relational database
Creating an Intelligent Recommendation Framework
By Jocelyn Hoppa
September 5, 2019 4 mins read
Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.
Keywords: centrality algorithms • community detection • cypher • data model • graph algorithms • graph database • graph model • GraphQL API • index free adjacency • Intelligent Recommendations Framework
Connecting the Complexity of Identity and Access Management
By Jocelyn Hoppa
September 2, 2019 4 mins read
Learn how speed makes graph-based IAM particularly applicable for applications with large audiences, many resources and complex connections.
Keywords: connected devices • enterprise applications • graph database • graph technology • iam • IAM solutions • identity and access management • neo4j • query response • Telenor
Context for AI Ops: 5-Minute Interview with Atul Gupta
By Deb Cameron
August 23, 2019 4 mins read
Check out this 5-minute interview with Atul Gupta, Head of Alliances at Digitate, about the latest release of ignio called AIOps Cheetah built on Neo4j.
Keywords: 5-minute interview • Atul Gupta • Digitate • graph database • graph technology • IT ops • rdbms • relational database • TCS
AI & Graph Technology: How Graphs Accelerate Machine Learning
By David Penick
August 12, 2019 3 mins read
Read the third installment of this blog series on artificial intelligence on the ways graphs accelerate machine learning.
Keywords: ai • AI / Machine Learning • Connected Data • data science • graph accelerated machine learning • graph technology • Knowledge Graph • knowledge graphs • machine learning algorithms
Blazing Fast Recommendations: 5-Minute Interview with Tim Hanssen
By Jocelyn Hoppa
August 9, 2019 3 mins read
Check out this 5-minute interview with Tim Hanssen, Founder and CTO of Mediaconnect, who uses Neo4j to build a real-time recommendation engine.
Keywords: 5-minute interview • graph database • graph technology • Joins • real-time recommendations • Recommendations • relational database • sql • Tim Hanssen
Graph-Powered Digital Asset Management with Neo4j [Video]
By Allison Wu
August 1, 2019 < 1 min read
Watch this webinar on how a graph platform provides advantages over traditional RDBMS in digital asset management, thereby driving business innovation.
Keywords: content availability • customer usage behavior • DAM • digital asset management • digital assets • graph platform • metadata • rdbms • Relational Databases • webinar
Solving Real-World Problems: 5-Minute Interview with David Bader
By Jocelyn Hoppa
July 26, 2019 3 mins read
Check out this 5-minute interview with David Bader, professor and chair of the School of Computational Science and Engineering, at Georgia Tech.
Keywords: 5-minute interview • cyber analytics • cybersecurity • David Bader • Georgia Tech • graph database • graph technology • Knowledge Graph • neo4j • Transportation
Toward AI Standards: Context Makes AI More Reliable and Trustworthy
By Jocelyn Hoppa
July 22, 2019 7 mins read
Discover why native graph technology is the key to making artificial intelligence and machine learning more reliable and trustworthy.
Keywords: AI solutions • AI standards • contextual information • corporate fraud • data lineage • GDPR • graph technology • Knowledge Graph • machine learning • native graph
NoSQL Data Modeling: 5-Minute Interview with Pascal Desmarets
By Jocelyn Hoppa
June 28, 2019 3 mins read
Check out this 5-minute interview with Pascal Desmarets, Founder and CEO of Hackolade, as he talks about NoSQL data modeling with Neo4j.
Keywords: 5-minute interview • data analytics • data modeling • Graph Databases • Hackolade • neo4j • nosql • Pascal Desmarets • relational database
Avoiding Database JOINs: 5-Minute Interview with Michael Wytock
By Jocelyn Hoppa
June 14, 2019 4 mins read
In this 5-minute interview with Michael Wytock, CEO of Coshx, you’ll learn how a graph data model improves stackholder communications and more.
Keywords: 5-minute interview • Coshx • data analytics • data model • graph database • Joins • Michael Wytock • relational database • sql • tabular data
From Collections to Connections: Where Hadoop Adoption Goes from Here
By Jocelyn Hoppa
June 13, 2019 5 mins read
Learn about the evolving world of big data and how the industry is increasingly interested in connecting data rather than just collecting it.
Keywords: ai • Big Data • Connected Data • data lake • data management • Data Relationships • data swamp • Data Warehousing • Hadoop • machine learning
Google Kubernetes Engine and Neo4j: Power Your Apps with Graphs
By Jocelyn Hoppa
June 10, 2019 4 mins read
Discover the power of containers about Kubernetes’ GKE in combination with a Neo4j graph database to solve connected data problems.
Keywords: containers • elasticsearch • GKE • Google Cloud Platform Marketplace • Google Kubernetes Engine • graph database • Kubernetes • MongoDB • relational database