ELCA Informatik

Flurstrasse 62, entrance from Buckhauserstrasse

8048 Zürich

Google maps: https://goo.gl/maps/zArw1rv8tD8FjE1b6



  • 13:50 – 14:10 Registration in the lobby
  • 14:15 Activation of the online link
  • 14:15 (– 15h15, flexible) Two talks
  • Followed by a small apéro


Towards environmental friendly infrastructure for data science and AI, by Christoph Buchli, Helio

When talking about sustainability in the context of digitalisation, there is usually not a lot of facts or specificaction involved. In this session, Christoph will give a short overview on the pillars of sustainable digital infrastructure and propose actionable steps to achieve this important goal. In the spirit of hands on action, he’ll outline a roadmap towards truly sustainable infrastructure for data science appliances in Switzerland and hopefully inspire action to get started today!

In his 15 years as a Systems and Software Engineer, Christoph has always taken issue with how painful it is and how irresponsibly we tend to use digital products and infrastructure. After an extensive detour into the world of Blockchain during his Software Engineering Master’s Thesis, he decided to finally do something about it and founded Helio together with his long-term friend Kevin.
Linkedin: https://www.linkedin.com/in/chbuchli/

Introduction to Apache Druid: Timeseries Data at Scale, by Alexander Hungenberg, ELCA

Apache Druid is a highly scalable, real-time analytics database which excels on
timeseries data. It is used by large corporations, like Twitter, to enable analytics on their
data streams with millions of events per second.
In this talk we will see an overview of the technology, its capabilities, use cases and
constraints. On top of that we will take a look at some BI tools for easy visualization and
alerting functionality.

Alexander Hungenberg works for ELCA since 2016. He has significant experience in
building large scale solutions using databases such as InfluxDB and monitoring solutions like
Grafana. In 2015 he completed his Master in Experimental Physics at ETH Zurich and has in
depth software development skills, especially in the area of backend development and
machine learning. The combination of his technical background and customer facing
experience allows him to coordinate the creation of business-centric, maintainable and
efficient solutions from the get-go.