As Bio-Technology is one of the hot topics of the century and graph databases are on the rise in this decade, we thought it would be a good idea to bring researchers and bioinformatics developers together for a workshop about the applicability of graph databases in biological research and application.
In September 2012 we all converged on New York City for the second ever driver days. The hack-a-thon gave us a chance to split up into 5 teams each having members from different languages.
David Fauth gives a presentation at GraphConnect 2012 about analyzing federal election campaign data using Neo4j.
Smitha Kulkarni Gudur and Manoj Joshii give a presentation at GraphConnect 2012 about using a GraphDB in a Cloud deployment.
This article shows how to use the MongoDB spatial feature in combination with Spring and a Web REST service.
Why combine these two different things? So we can prepare our dataset with Hadoop and import it into Neo4J, the graph database, to be able to query and visualize the data.
GraphConnect was an awesome event with engaged attendees, impressive speakers and great conversations. The Neo4j community team was happy to have supported the event.
Along with Kruskal’s minimum spanning tree algorithm, there’s another general algorithm that solves the problem. The algorithm of Prim.
This post is about my first foray into the graph database world. I chose as my first victim/offering Neo4j. I'll likely end up writing more than a few articles about this particular database, but, I thought I'd start with the basics.
This post demonstrates how to set up the cluster on Amazon EC2 (a popular cloud service provider) with Titan and Faunus graph technologies.
As of late, I've become fascinated with the whole NoSQL paradigm. Having spent most of my professional career dealing with RDBMSes, I was curious as to how the whole Big Data notion fit into things.
HyperGraphDB was announced as a graph database. But there's been criticism in the past that it was actually more of an OO database than a graph database, so why not call it that?
This blog describes the cbdocloader tool in more detail. It saved me a ton of time by allowing me to import an entire Vancouver tree dataset that I was playing with.
One obvious application of a graph databases such as HyperGraphDB is the implementation of artificial neural networks (NNs). In this post, I will show one such implementation based on the practical and informative book "Programming Collective Intelligence" by Toby Segaran.
Been distracted for whatever reason and haven't been keeping up with your NoSQL news? That's all right, we've got you covered.
NeoTechnology was featured on TechCrunch after raising a Series B round, and it has an entry on CrunchBase. If you look at CrunchBase closely you’ll notice it’s a graph.
A composite key consists of one or more primary key fields. Each field must be of data type supported by underlying data-store.
Integration Testing is an often overlooked area in enterprise development. This is primarily due to the associated complexities in setting up the necessary infrastructure for an integration test.
One of the two main algorithms in finding the minimum spanning tree algorithms is Kruskal's algorithm
In this tutorial, we’ll use below e-mail and attachment entities as our data model and perform Crud operations using Kundera.
These posts I came across give a great explanation on the shortcomings of 2-phase commit when it comes to failures and also of 3-phase commit, which handles well one type of failure (fail-stop).
Here’s the NoSQL landscape in 3 slides (and hey, at least mine looks different :) )
If you are working with MongoDB, there’s a cool and easy way to do your unit tests, with almost the simplicity of writing a unit test with mocks with ‘EmbedMongo’.
This year’s MongoMunich took place on October 16th. As the NOSQL movement is growing we were excited to have about 200 attendees, which is a huge step-up from last year!
We’re fans of Node.js and so we’re happy to be sponsoring the Node Knockout 48-hour hackathon and to be providing two prizes!