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Category: Graph Databases
New Certification Exam Available: Neo4j Graph Data Science

Feed: Neo4j Graph Database Platform. Author: Enzo. We have added a new certification exam for Neo4j Graph Data Science on Neo4j GraphAcademy.There is a growing community of developers and data scientists who are using the Neo4j Graph Data Science Library to perform analysis of their graph data. The Neo4j Graph Data Science Library contains many graph algorithms that Neo4j provides full support for, as well as algorithms that are implemented, but not fully-supported (alpha/beta).You can become certified in Neo4j Graph Data Science to demonstrate to your colleagues you have this high-in-demand skill.About the ExamThe Neo4j Graph Data Science Certification exam ... Read More
Neo4j timeline visualization with KronoGraph

Feed: Cambridge Intelligence. Author: Matt Michel. In the first of this 2-part blog series, I’ll demonstrate how to create an interactive React application where a Neo4j timeline visualization and graph visualization work side-by-side.If you’re familiar with our graph visualization toolkits, you’ll know how easy it is to integrate with graph databases like Neo4j. KeyLines and ReGraph also work seamlessly with KronoGraph, our timeline visualization toolkit, to provide two powerful views of the same data.Combining graph and timeline visualization with your favorite database gives users new and exciting ways to analyze their most important datasets. A hybrid Neo4j timeline visualization and ... Read More
Top 10 Use Cases: Master Data Management

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model to new business requirements.But how do companies today use graph databases to solve tough problems? In this blog series, we’ll cover the top 10 use cases for graph technology and for each we include a real-world example. This blog series continues with a look at using graph technology with knowledge
graphs.The previous blog in our ten-part series analyzed how ... Read More
Graphs in China: 5-Minute Interview with Richard Wu & George Zhang
Feed: Neo4j Graph Database Platform. Author: Greta Workman, Marketing Coordinator. “Graph technology can be used in, for example, Chinese medicine, museum collection management, as well as knowledge graphs for copyright management. Those were all areas we never thought we would be touching,” said Richard Wu, co-founder of Beijing We-Yun Data Co.In this week’s 5-minute interview, we spoke to Graphie Award winner Beijing We-Yun Data Co. about the power of the graph database to store and correlate massive amounts of data easily, as well as the many areas where graph databases can be used. Company founders Richard Wu and George Zhang ... Read More
Unearthing Historical Networks Using Neo4j and Archival Documents

Feed: Neo4j Graph Database Platform. Author: Allison Wu. Editor’s Note: This presentation was given by Corey Clawson at NODES 2019 in October 2019.Project GoalsThis project is an outgrowth of my graduate studies, which looked at archipelagic and archive studies, and analyzed what they have in common. Initial goals for this project included the following:
Offer a means of considering/modeling artistic influence.
Consider the cultural flows of concepts of sexuality and gender as well as artistic strategies.
Map artistic communities’ formation via processes of migration and urbanization.
Eventually, what I arrived at is that the connectedness and dispersion of those ... Read More
Sustainability matters: how we’re making a difference

Feed: Cambridge Intelligence. Author: Catherine Kearns. At Cambridge Intelligence, we take our environmental responsibilities seriously. This blog post explores how our recent contributions to important ecological projects will help to combat climate change.Environment awareness in the workplaceSome years back, volunteers across the company formed a Green Initiative Group (GIG) tasked with reducing our carbon footprint and becoming more eco-friendly. It’s made a significant impact across every aspect of the business; from reducing plastic and increasing recycling, to encouraging greener transport options and switching to a renewable electricity supplier.We’re also honest about our eco status in areas where there’s still room ... Read More
Interactive timeline tools for joined-up investigations

Feed: Cambridge Intelligence. Author: Andrew Disney. In a recent blog post, we explored the role of interactive timeline tools in a typical police investigation. We saw how KronoGraph unpicks big and complex call data records (CDR) and communications metadata, revealing specific clues that drive an investigation forward.CDR analysis rarely gives the full picture, though. To build a convincing case, investigators need to bring relevant information together from all available sources, linking it into a complete and compelling story that stands up in court.That’s no mean feat. A typical investigation could involve data from dozens of different sources: witness reports, central ... Read More
Top 10 Use Cases: Empowering Network and IT Operations Management

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model to new business requirements.But how do companies today use graph databases to solve tough problems? In this blog series, we’ll cover the top 10 use cases for graph technology and for each we include a real-world example. This blog series continues with a look at using graph technology with knowledge
graphs.The last blog in this series looked at the ... Read More
Time-based data visualization

Feed: Cambridge Intelligence. Author: Andrew Disney. Time-based data visualization is a vital part of visual data analysis. In this blog post, we’ll take a closer look at visualizing complex connected data – often called ‘graph data’, and its evolution over time.Graph data is rarely static. As time passes, entities change, events happen and connections get made and broken. To truly understand your graphs, you need to be able to visualize all of that.That’s why we built the time bar – available in our KeyLines and ReGraph graph visualization toolkits, and KronoGraph, our toolkit for building interactive timeline visualization applications.What is ... Read More
This Week in Neo4j – Structured data embedded in web pages, Speaker Listener LPA, Neo4j at NASA

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Hi everyone, Our video this week is an interview with NASA’s David Meza from Ashleigh Faith’s IsADataThing YouTube channel. Jesús Barrasa analyses the structured data of the White House website, Clair Sullivan imports data from Python, and I show how to use Speaker Listener Label LPA. And finally, Jack Collins createsPokémon teams using Neo4j and the Graph Data Science Library. Cheers,
Mark and the Developer Relations team This week’s featured community member is Tom Swinkels.
Tom Swinkels – This Week’s Featured Community Member
Tom is a web developer at prepr.io, which ... Read More
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