Trifork Blog

Posts Tagged ‘Apache’

Cordova from the Trenches: Write Once, Run & Debug Everywhere!

November 20th, 2013 by

Co-written by Gian Luca Ortelli and Ashkan Roshanayi.

CrisisAppTrifork was asked to develop a mobile app for crisis management in a “GRIP 1” crisis situation for Dutch municipalities.The users of the app are municipal employees involved during a crisis situation. The app was designed in co-creation with the involved municipal employees. But what is a crisis?

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Frank Scholten joins Apache Whirr development team

March 8th, 2012 by

I am pleased to announce that I have been voted in as a committer on Apache Whirr! Whirr is a Java library for quickly setting up services in the cloud. For example, using Whirr you can start a Hadoop cluster on Amazon in 5 minutes by configuring a simple property file and running the whirr command-line tool. See the quick start guide for more information.

Hadoop is only one of the supported services however. Whirr supports several NoSQL databases or distributed computing platforms and tools. Currently Whirr supports HBase, Hama, Ganglia, Zookeeper, ElasticSearch, Mahout, Puppet, Chef and Voldemort.

One of my contributions was the Mahout service which installs the Mahout binary distribution on a given node. When used in conjunction with Hadoop you can have a fully operational Mahout cluster in minutes. For more information about using the Mahout service checkout this blog on Mahout support in Whirr on the community site

More services are continuously being added to Whirr. For instance the Solr and MongoDB services are planned for the upcoming 0.8.0 release. If you would like to know and keep up to date with more about Whirr checkout the project page or subscribe to the mailinglist.

Google presents DART – a new programming language

September 27th, 2011 by

We are proud to announce that Google will present their new programming language “DART” at GOTO Amsterdam. Kasper Lund will do the opening keynote speech on Thursday, October 13th.

Join us at GOTO Amsterdam and get first-hand details.

Enjoy over 40 presentations and 13 tracks, provided by some of the world’s leading software development experts.
Check out the GOTO Amsterdam Schedule

Early Bird

The clock is running, only 3 days are left to sign up at a reduced rate for this major IT event in Amsterdam. Register by Friday, September 30th and save up to EUR 200.
Register here!

Apache Track for EUR 50

As a gift to the Open Source Community, we offer you the Apache Track on Friday, October 14th at an incredible price of EUR 50!
This special ticket will give you the opportunity to attend the five sessions within the Apache Track, but no other talks. If you are interested in this offer, please contact us on or reply to this e-mail.
Check out the Apache Track

Spatial Search Plugin (SSP) and Explorer for Apache Solr

September 15th, 2011 by

On the request of the Apache Lucene Project Management Committee (PMC) JTeam will be changing the names of  two of our products. As of immediate affect we will no longer be using the names Spatial Solr Plugin (SSP) and Solr Explorer. The current names are too similar to Solr, a trademarked product of the Apache Software Foundation (ASF).

Our products will now be known as:

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Running Mahout in the Cloud using Apache Whirr

June 21st, 2011 by

This blog shows you how to run Mahout in the cloud, using Apache Whirr. Apache Whirr is a promosing Apache incubator project for quickly launching cloud instances, from Hadoop to Cassandra, Hbase, Zookeeper and so on. I will show you how to setup a Hadoop cluster and run Mahout jobs both via the command line and Whirr’s Java API (version 0.4).

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Mahout – Taste :: Part 1 – Introduction

December 9th, 2009 by

This post is the first in a series on Taste, a Java framework for providing personalized recommendations. Taste is part of the larger Mahout framework, which features various scalable machine-learning algorithms. In this post I introduce you to the concepts of personalized recommendations, also known as collaborative filtering. After this introduction, Taste’s architecture and extension points are explained. I finish this post by demonstrating and explaining the TanimotoCoefficientSimilarity, one of Taste’s implementations used for computing recommendations.
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