Category: Graph Databases

Feed: Blog – ArangoDB. Author: Christopher Woodward. This post is the fifth in a series of posts introducing the ArangoML features and tools. This post introduces the ArangoDB NetworkX adapter, which makes it easy to analyze your graphs stored in ArangoDB with NetworkX. In this post we: Briefly introduce NetworkXExplore the IMDB user rating datasetShowcase the ArangoDB integration of NetworkXExplore the centrality measures of the data using NetworkXStore the experiment with arangopipe Going forward, the ArangoML Series will no longer be numbered. Parts 1-4 deal with the same housing dataset and focus on introducing some core machine learning concepts. We ... Read More

Feed: Neo4j Graph Database Platform. Author: David Penick. More people than ever have important data in a graph. So how can they view that data in their favorite BI tools?The Neo4j BI Connector delivers direct access to Neo4j graph data from business intelligence (BI) tools such as Tableau, Looker, TIBCO Spotfire Server and Microstrategy. It’s the first enterprise-ready, supported product to deliver connected data results to BI users avoiding coding, custom scripting and ungoverned access.In this second blog of our five-part series on the BI Connector, we cover how it can assist you in rooting out money laundering, aiding in ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.Last time, our Managing Editor, Jocelyn Hoppa, guided us to a short and sweet video on pathfinding algorithms.With shopping for cheerful gifts on my mind, I chose “Tableau Talks to Neo4j in Real-Time with the Neo4j BI Connector,” a behind-the-scenes look at a very graphy use case: product recommendations. In this short video, ninja architect David Allen feeds live graph data from Neo4j into Tableau, thanks to the Neo4j BI Connector. David ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Graph approaches to data are exploding. In the commercial world, graph-based analysis is used to explore deeper meaning in data you already have, improve forecasts and make better predictions.This accelerating use in business is due to the increasing connectedness of data, breakthroughs in scaling graph technology to enterprise-sized problems, excellent results when integrated with machine learning (ML) and artificial intelligence (AI) solutions, and more accessible tools for general analytics and data science teams.In this blog, which reflects Chapter 1 of Graph Data Science For Dummies, you discover how we define a graph ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. The challenge of visualizing time-based data has kept academics and data scientists busy for years. How do you give users the ability to filter and summarize time-based connected data without overwhelming them? What’s the clearest, most intuitive way to reveal how events unfold? What if the time element holds the insight that unlocks everything else? The time bar lets users quickly spot how connected data evolves over time. While building the time bar – our KeyLines and ReGraph component for visualizing dynamic networks – we spent a lot ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. We are happy to announce the all new Spring Data Neo4j 6.0.Spring Data Neo4j version 6 (or shorter SDN 6) is built on the foundation of SDN/RX that got released earlier this year. It is the successor of SDN 5 (with Neo4j-OGM) and RX.The Spring Data module has some history and went through several major changes. For about four years now it followed the Spring Data JPA principle: Using Spring Data as a thin layer to orchestrate an underlying object mapper.While Neo4j-OGM is quite flexible, it comes with a price. It does ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Some product releases break new ground, others are more about sowing and reaping; incrementally realizing the benefits of previous innovations while preparing for further gains.Approximately one year ago, Neo4j released Neo4j 4.0 – a landmark development in graph technology – further extending the world’s leading graph database.4.0 was big on headlines, and rightly so. In many ways, it marked the emergence of the graph database into the mainstream of enterprise technology – a true multi-database, multi-use system, able to provide the assurances that enterprises demand on security and scalability, while (further) delighting ... Read More

Feed: Neo4j Graph Database Platform. Author: David Penick. Graph database adoption is on the rise. But does this mean that people have to give up their favorite BI tools? The answer is a resounding no.The Neo4j BI Connector delivers direct access to Neo4j graph data from business intelligence (BI) tools such as Tableau, Looker, TIBCO Spotfire Server and Microstrategy. It’s the first enterprise-ready, supported product to deliver connected data results to BI users. In this first blog of our five-part series, we cover what the BI Connector does behind the scenes and why business intelligence and graphs are both in ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Hi everyone, In this week’s video, Adam Cowley shows off the React Hooks For Neo4j library that he created to make it easier for React users to build graph based applications. Kristof Neys compares NetworkX and Neo4j, Hantsy shows how to build a Spring Boot application, and we launched the Neo4j Connector for Apache Spark. And finally, David Allen builds an image annotation pipeline using GCP and Neo4j Aura. Cheers, Mark and the Developer Relations team This week’s featured community member is Luanne Misquitta, Vice President Of Engineering at GraphAware. Luanne ... Read More

Feed: Neo4j Graph Database Platform. Author: David Penick. “The Innovation Lab is a concept that we developed, bringing the best of data science and design thinking together,” said Stefan Wendin, Global Head of Business Design and Strategic Programs, Neo4j.In this week’s five-minute interview (conducted at GraphTour), Stefan Wendin gives an overview of the Innovation Lab and how it develops new use cases. What is the Innovation Lab?The Innovation Lab is a concept we developed to bring the best of data science and design thinking together so that we can very quickly prototype and then validate the use cases presented to ... Read More