To process and analyze data for typical analytics or machine learning use cases, it is common to hit storage and processing power issues. If the dataset is too big to be stored on your laptop drive, if it cannot be Read more…
[siteorigin_widget class=”SiteOrigin_Widget_Headline_Widget”][/siteorigin_widget] We are happy to announce the opening of all our code base as part of the Thales Inner Source initiative. There you can find the code base of our applications, components, and libraries. The punch codebase is highly Read more…
Punch Data Science Meetup When: on the 15th of October. Where: in Rennes at the Google atelier numérique. Organised as part of the Rennes Machine Learning Meetup /French Tech Speaker: Simon Grah from Thales Theresis Research Lab Topic: Maritime Traffic Anomaly Detection We are very happy Read more…
Punchplatform periodically collects and stores data characterizing the health of the platform (metrics). It gathers both system metrics (CPU, RAM) and applicative metrics like the tuple travel time through a Storm topology. Since its last version, Punchplatform contains a specific Read more…
Context While working on a surveillance solution an interesting problem arose: an analysis component had to be built which had to be light, robust and highly adaptative. This component consists of a set of sequential or parallel tasks, each providing Read more…
Punchplaform offers a powerful stack of big data components to build in few weeks a complete use case. At the Thales Innovative Initiative, the Professional Services team has build an intelligent monitoring in 2 weeks. Based on OS metrics, applicative Read more…
We have been happy to upgrade the Thales Netherlands platform !
We have 5 git repositories, our documentation is automatically generated. We use only maven and git to build our complete packaging. Nothing tremendous. In order to build and keep track of things, here is what we do. Simply said, we Read more…
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