Category: Graph Databases

Feed: Cambridge Intelligence. Author: Sam Mabaso. Last week we celebrated our seventh birthday by channeling our inner James Bonds.We hosted this special occasion at Hidden Rooms who transformed their cocktail lounge to bring our Casino Royale theme to life. Upon entering the venue, staff and their guests were treated to a glass of prosecco as the sweet melodies of jazz singer, Grace Williams, filled the room.We’d never advocate drinking on an empty stomach so we ensured everyone was well catered for with the help of Puddini at the deli.Once all the formalities were out of the way, we opened up ... Read More

Feed: Cambridge Intelligence. Author: Christian Miles. Working in the data visualization field, I’m intrigued by different datasets and using graph visualization to explore, understand and interact with them. I came across this interesting New York taxi cab database and this study, and I was curious to see what I could uncover using KeyLines – the graph visualization toolkit.The data includes information on taxi trips taken in the city and the study found an increase in cab activity between the Federal Reserve Bank of New York and major Wall Street banks around the time of central bank policy meetings.In this blog, ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Jeff Morris, Product Team | June 18, 2018  From LinkedIn to Facebook to Google, top companies are driving their businesses using graphs. And use cases span industries as well.What those new to graph technology may not understand is that creating a graph does not require starting from scratch. Existing data stores, such as data lakes and relational databases, represent an onramp to graph analytics on your existing data.In this series, we’ll examine how investments in connected data return dividends for your bottom line – and beyond. In previous weeks, we’ve explored ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have a tutorial of the Neo4j ETL Tool, a React.js application that uses the new temporal and geospatial data types, a new release of the JDBC Driver, and more! Have a really awesome Neo4j story or use case you want to share with the world? Sign up for our Neo4j Speaker and/or Neo4j Blogger program! Learn More This week’s featured community member is David Meza, ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. By Lorenzo Speranzoni, Founder & CEO, LARUS Business Automation | June 14, 2018  Our team at LARUS has been quite busy since the last JDBC driver release. Today, we’re happy to announce the 3.3.1 release of the Neo4j-JDBC driver.The release has been upgraded to work with recent Neo4j 3.3.x versions and Bolt driver 1.4.6. (Work on Neo4j 3.4.x and drivers 1.6.x is in progress.)Neo4j-JDBC Driver Improvements and UpgradesWe worked on a number of improvements: Added Bolt+routing protocol to let the driver work with the cluster and being able to route transactions ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Yaqi Shi, Developer Relations | June 13, 2018  Editor’s Note: This presentation was given by Yaqi Shi at GraphConnect San Francisco in 2016.Presentation SummaryIn this presentation, Yaqi Shi describes the process of developing Health-Graph, a model of how some of the key elements in the healthcare system are connected. With a background in the Chinese healthcare system, Yaqi was bewildered by the U.S. system’s complexity, which inspired her to make this model.Her process of developing a data model using open data provides a basic introduction to graph data modeling, as do ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. By Jeff Morris, Product Team | June 11, 2018  Your data is inherently valuable, but until you connect it, that value is largely hidden.Those data relationships give your applications an integrated view that powers real-time, higher-order insights traditional technology cannot deliver.In this series, we’ll examine how investments in connected data return dividends for your bottom line – and beyond. Last week, we explored how increasing data’s connectedness increases its business value.This week, we’ll take a closer look at how connected data gives you contextual insights for essential business use cases.Connected Data ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have the GRANDstack starter kit, loading JSON APIs into Neo4j using the APOC library, analysing the Lightning Network, the v4 release of Py2neo, GraphAware’s 5th birthday, and more! This week’s featured community member is Dirk Mahler, Senior Consultant at buschmais GbR , and Author of jQAssistant, the popular Neo4j based software analytics tool that we’ve featured in many previous editions of TWIN4j. Dirk Mahler – ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. By Greta Workman, Marketing Manager | June 8, 2018  Calling all conference speakers (and seasoned audience members)!In case you missed the news, we recently opened up the Call for Papers (CFP) for GraphConnect 2018. In our effort to make all presenters feel welcome and to help them reach their full potential, we want to put together a list of helpful tips and tricks for prospective speakers.But, we need your help!What Makes a Conference Presentation Great?We want to hear from you: What are some things that make talks GREAT? What are some ... Read More

Feed: Blog – ArangoDB. Author: Daniel Larkin-York. Many ArangoDB users rely on our arangodump and arangorestore tools as an integral part of their backup and recovery procedures. As such, we want to make the use of these tools, especially arangodump, as fast as possible. We’ve been working hard toward this goal in preparation for the upcoming 3.4 release. We’ve made a number of low-level server-side changes to significantly reduce overhead and improve throughput. Additionally, we’ve put some work into rewriting much of the code for the client tools to allow dumping and restoring collections in parallel, using a number of ... Read More