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GraphAware at GraphConnect San Francisco 2016

25 Nov 2016 by Miro Marchi Neo4j Conference GraphAware

Last month, the 5th edition of GraphConnect San Francisco took place at the Hyatt Regency SF. It was the biggest graph technology event ever and GraphAware proudly contributed as a sponsor, with one main talk, two lightning talks and our GraphHero stand 。^‿^。 This edition’s big announcement was the upcoming new landmark release of Neo4j 3.1, “The database for the connected enterprise”, which introduces a new state-of-the-art clustering architecture and new security architecture to meet enterprise requirements for scale and security. There will be a lot to say about this release, but you can already try the beta release as we have done!

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Securing Neo4j with GraphAware Enterprise

29 Mar 2016 by Michal Bachman Neo4j GraphAware Intermediate Security Enterprise

For most organisations, data security is extremely important. The topic comes up every single time we are training, consulting, or otherwise engaging in the world of graphs and Neo4j. At the same time, security is very difficult and time-consuming to get right and the implications of getting it wrong can be serious. In this blog post, we introduce the integration of Spring Security into Neo4j which provides important security controls and mechanisms for enterprises and governments that make use of the world’s most popular graph database.

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Expiring Data in Neo4j

15 Mar 2016 by Michal Bachman Neo4j GraphAware Intermediate

At GraphAware, we help organisations in a wide range of verticals solve problems with graphs. Once we come across a requirement or use case two or three different times, we typically create an open-source Neo4j extension that addresses it. The latest addition to our product portfolio, introduced in this post, is a simple library that automatically expires data from the Neo4j graph database.

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GraphAware Announces GA-Glass

01 Apr 2015 by Luanne Misquitta GraphAware

Graph Aware Ltd. is excited to announce their new partnership with Glasses Inc. Managing Director Michal Bachman claims that wearers of GA-Glass become truly graph aware, allowing them to boldly go where no Glass has traversed before.

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Random Graph Models (Part II)

06 Aug 2014 by Vojtěch Havlíček Neo4j GraphAware Intermediate

In the first part of this short series about random graph models, we talked about why they are useful and had a brief look at two of them: Erdos-Renyi graphs and Barabasi-Albert model. In this post, we take a look at the “small world” phenomenon and another network model, namely the Watts-Strogatz model.

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Random Graph Models (Part I)

16 Jul 2014 by Vojtěch Havlíček Neo4j GraphAware Intermediate

When one obtains a graph data from a measurement on a real world network, it is sometimes useful to make comparison with a random graph. Such graph is characterised by certain degree distribution, which you can imagine to be a list of degrees of nodes present in the network. The most interesting distributions have certain functional dependence which allows one to infer what processes are dominant in formation of the network. The processes consequently characterise the relationships between the nodes.

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Happy Birthday GraphAware

03 Jun 2014 by Michal Bachman Neo4j GraphAware

Today, it is exactly one year ago since Graph Aware Limited was incorporated. It started as a one man show, whilst I was finishing my MSc. Thesis at Imperial College London. Since then, we’ve been growing slowly but steadily and will be moving to our new London office fairly soon (announcements to come). We have happy clients in London, New York, Copenhagen, Barcelona, Prague, and Accra.

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Introducing GraphAware Neo4j Framework

28 May 2014 by Michal Bachman Neo4j GraphAware Intermediate

In this short blog post, I would like to introduce the GraphAware Neo4j Framework. Its goal is very ambitious: we’d like to make it as useful for Neo4j developers, as the Spring Framework is for Java developers. The Framework aims at speeding up development with Neo4j by providing a platform for building useful generic as well as domain-specific functionality, analytical capabilities, graph algorithms, and more.

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