Category: Graph Databases

Feed: Blog – ArangoDB. Author: Heiko Kernbach. Geo data is getting more and more important for today’s applications. The growing number of location-aware services, IoT applications and other solutions using latitude and longitude ask for precise and fast processing of geo data. Let me show you in this quick demonstration how you can use geo functions and visualize your data using Foxx and leaflet.js. Installation First install the Foxx Service hosted on GitHub: https://github.com/arangodb-foxx/demo-geo To do that, simply open the ArangoDB Web UI and install either via the GitHub method or download the zip-file and import it. After the finished ... Read More

Feed: Neo4j Graph Database. Author: Mark Needham. Keywords:  apache flink • cypher • instacart • Kaggle • merge • neo4j-import • python • Recommendation Engine • shortest path algorithm • twin4j About the Author Mark Needham, Developer Relations Engineer Mark Needham is a graph advocate and developer relations engineer for Neo Technology, the company behind the Neo4j graph database. As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. In the first of three blog posts, we explore the real world applications for graph visualization, starting with law enforcement and fraud management.Use cases for graph visualization“Data is the new oil”– it may be a cliche, but it’s true. Like oil, data in its raw, unrefined form is pretty worthless. To unlock its value, data needs to be refined, analyzed and understood.You can say the same about graphs. More and more organizations are seeing potential in their data connections. The question is, how do you get non-experts to analyze graphs at scale and understand ... Read More

Feed: Neo4j Graph Database. Author: Mark Needham. Keywords:  citygml • dependency management • Elixir • facebook • graph algorithms • GraphQL • tom sawyer • twin4j About the Author Mark Needham, Developer Relations Engineer Mark Needham is a graph advocate and developer relations engineer for Neo Technology, the company behind the Neo4j graph database. As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his experiences of ... Read More

Feed: Blog – ArangoDB. Author: Max Neunhöffer. Recently I gave a talk about ArangoDB in front of a community of mathematicians. I advertised that nearly arbitrary data can “easily” be stored in a JSON based document store. The moment I had uttered the word “easily”, one of them asked about long integers. And if a mathematician says “long integer” they do not mean 64bit but “properly long”. He actually wanted to store orders of finite groups. I said one should use a JSON UTF-8 string for this but I should have seen the next question coming because he then wanted ... Read More

Feed: Cambridge Intelligence. Author: Dan Williams. We’re excited to launch the Connected Data Visualization Consortium – or CDVC – a group dedicated to the future of network visualization.Over the last six years we’ve worked with hundreds of organizations, and thousands of visualization experts all over the world. The CDVC will create a community so members can meet their peers and share their experiences. We’ll explore the challenges that come with designing, building and deploying new tools, and try to understand the future of connected data visualization.We’ll meet twice a year for member presentations and practical workshops, along with informal discussions ... Read More

Feed: Blog – ArangoDB. Author: Jana Volkova. Join our Sr Distributed System Engineer, Kaveh Vahedipour, to learn more about ArangoDB Agency on September 19th, 2017 (6PM CEST/12PM ET/ 9AM PT) – Join the webinar here.Distributed systems have become the standard topology on which modern appliances live. While the advantages of distributing workload for both performance as well as fault-tolerance are obvious, the runtime flexible configuration of such deployment becomes non-trivial.ArangoDB clusters are no different in that regard. A potentially large database cluster’s configuration is manipulated at runtime by addition, alteration and removal of collections, indexes, and even servers. All servers ... Read More

Feed: Neo4j Graph Database. Author: Mark Needham. Keywords:  cypher • Football • graph algorithms • kotlin • salesforce • spreadsheets • streamsets • twin4j • variable length paths About the Author Mark Needham, Developer Relations Engineer Mark Needham is a graph advocate and developer relations engineer for Neo Technology, the company behind the Neo4j graph database. As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his ... Read More

Feed: Neo4j Graph Database. Author: Mark Needham. Keywords:  bolt • Game of Thrones • graph algorithms • graph-based machine learning • GrapheneDB • GraphQL • Neo4j Desktop • nlp • rdbms • twin4j About the Author Mark Needham, Developer Relations Engineer Mark Needham is a graph advocate and developer relations engineer for Neo Technology, the company behind the Neo4j graph database. As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j ... Read More

Feed: Blog – ArangoDB. Author: Mark Vollmary. With the 3.2 release, ArangoDB comes with version 1.1 of the binary protocol VelocyStream. VelocyStream is a bi-directional async binary protocol which supports sending messages pipelined, multiplexed, uni-directional or bi-directional. The messages themselves are VelocyPack objects. The story of VelocyStream began with version 3.0 of ArangoDB which introduced VelocyPack as the new internal storage format of ArangoDB. VelocyPack as a binary format – which stores a superset of JSON, is more compact and has a fast attribute lookup – allows us to use the same byte sequence of data for storage, read-only work ... Read More