Sunday, December 1st, 2013

Gruff: A Grapher-Based Triple-Store Browser for AllegroGraph software

This morning I was watching this video about graph databases and I found Gruff: A Grapher-Based Triple-Store Browser for AllegroGraph software from Franz Inc.
Investigating a little further I found that this software works only for Allegro Graph, however it is a intresting solution to evaluate and explore.

Next Generation Databases

This video from Emil Eifrem is very quick but quite interesting overview of NoSQL databases. Emil is CEO of Neo Technology company, however his speech is quite unbiased.

The 2013 Daily chart Advent calendar

December remembers me when I was child and during this period I was looking forward to waking up and grub chocolate from my advent calendar.  Now I’ve grown up and unfortunately I can’t have chocolate for a while so I found an electronic daily advent calendar that every day until Christmas shows a collection of the 24 most popular maps, charts, data visualisations and interactive features published on the Economist site the last 12 months. Christmas Eve the most popular infographic of 2013 will be revealed. In addition a Christmas gift behind door number 25.

Krona a Hierarchical data browser

Krona allows hierarchical data to be explored with zoomable pie charts. Krona charts can be created using an Excel template or KronaTools, which includes support for several bioinformatics tools and raw data formats. The charts can be viewed with a recent version of any major web browser (seeBrowser support). Take a look at this example.


This morning I came across InfiniSQL, it is described as

Extreme Scale Transaction Processing.
InfiniSQL is the database for always on, rapid growth applications that need to collect and analyze in real time–even for complex transactions.

InfiniSQL is a relational database management system (RDBMS) composed entirely from the ground up. InfiniSQL’s goals are: Horizontal Scalability, Continuous Availability, High Throughput, Low Latency, High Performance For Complex, Multi-Host Transactions, Ubiquity. According to the information provided it has been tested to support over 500,000 complex transactions per second with over 100,000 simultaneous connections on a cluster of only 12 single socket x86-64 servers. Let’s give it a try 😉

KaHIP – Karlsruhe High Quality Partitioning

I always wondering how you could efficiently split a graph into partitions for instance to be able to scale out  graph databases (maybe someone has already done it 🙂 ), you should be able to found a division of a graph’s node set into k equally sized blocks such that the number of edges that run between the blocks is minimized; this is exactly what KaHIP does.

Machine Learning Video Library

In this page you can find lots of videos related to different machine learning algorithms. I’m personally interested in SVM (Support Vector Machine) so let’s start !!

Over 1000 D3.js Examples and Demos

How to start with D3.js? Obviously read the documentation first (yes, sure :P) but I found that it is very useful and easy to start from the ridiculous amount of awesome demos and codes available online. Here you can find more than a thousand examples and demos. You can also referr to d3.js official examples page here.

Machine learning – Support Vector Machine

Watching this video Sentiment analysis using support vector machine (even if it has been registers in Ruby conference 😉 ) I’ve found some interesting links about machine learning and SVM:


If you are interested in purely functional language you may want to take a look at this set of videos tutorial about Haskell.

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