March 7-9, 2018
Montreal, Canada

A DIY Data Lake and Lab

Data have to be sorted and stored before they can be analyzed. Your data sets as mines are big enough to give a hard time to our laptops, but not big enough to require the fanciest big data solutions. Building simple data lakes and labs can help you get what you want without deployment headaches. In this talk, we will see how to build simple data lakes and labs using Ruby, Python, and common PaaS, and IaaS.

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Christophe Philemotte


I build development tools, such as PullReview, and I like to help developers. I also work at EURA NOVA, a private research service company. I am a polyglot developer; C++ and Ruby are my strongest languages. I like to talk at conferences and to support the community. I co-founded Ruby Belgium and I am its current president.

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Montreal 2018 sponsored by