Wednesday, February 27, 2013

Taking Ideas Sky High with Content Cloud Ecosystem Team

Participants:

  • F-Secure: Marko Mänty, Heikki Partanen, Heikki Nousiainen
  • There is still room for additional participants!

Topic:

The team will try out business ideas and develop application prototypes utilizing the F-Secure Content Cloud Ecosystem, CCE. The ideas revolve around crowdsourcing, user generated content, sharing and golf tournaments. CCE platform offers several APIs to work with: Python, JavaScript and raw REST(ful).

If you got interested and would like to participate, drop us a line! (We can have 1-3 teams working on with CCE.)

Tuesday, February 12, 2013

Enginio Team - Connect Your Application in Less Than a Minute

Participants:

  • Digia: Harri Eronen
  • We are searching for max 5 developers with cloud application idea(s). The developers can use JavaScript/HTML or native Qt/QML.

Topic:

The team will implement cloud application(s) using Backend as a Service (BaaS) provided by Digia. Outcome can be any connected and data-driven application(s) which leverage the cloud-based backend,  for example, online games, image gallery or location based service. Target devices can be any from mobile platforms to desktop OS. Preferably the applications run in multiple devices to demonstrate cloud functionality better.

The backend service by Digia provides scalable and ready-made functionality for flexible data storage, access control, searching, data manipulation, etc.... More information about the backend service: http://engin.io

Please contact us if you like to use the backend service in Hackathon!

Monday, February 4, 2013

Second team arrives, The Spark team

Participants:
  • F-Secure: Perttu Ranta-aho
  • HY: Ella Peltonen
  • People are welcome to join the group. Some basic knowledge of MapReduce algorithms and/or scala language are beneficial.
Topic: "Data-mining with MapReduce".
The team will test and develop new methods for analysis of software behaviour. The aim is to detect anomalies in large set of behaviour data and/or to group softwares with some similarity measures. The main tool for data mining will be Spark.