Join us for our upcoming meetup on March 5 at MCAP https://www.mcap.com/ –– thank you very much for hosting us!
We'll have two talks this evening: (Doors open at 6pm, and talks will start at 6:30pm):
1) [Machine] Learning about my Diabetes
My name is Andreas Helmer. I am 32 years old and I live in Kitchener, Ontario. I am a self-proclaimed “data geek" and I am using Elastic to help me learn about my personal data. I work at AGFA Healthcare - a global radiology IT & healthcare company - where it is my job to try and work some of that “cold data” out of our systems and software in order to analyze how well our technology is working. My work is highly enjoyable, and it is what introduced me to Elastic. The Elastic Stack allows me to parse data from some of our logs to extract all kinds of statistical information. However, I want more than just “cold data” - I want data that pertains to me.
I was diagnosed with Type 1 Diabetes at the age of 20 and, at first, did not take it too seriously. I would take my insulin, count the carbohydrates that I was consuming and check my blood sugars but it was not until I discovered some new technology (including Elastic) that I really started to really personalize all the data that I was collecting for myself.
I want to share my story, my personal data and how I use Elastic to take “cold data” and turn it into something that helps me make decisions about my every day as someone with type 1 diabetes.
2) Using elasticsearch_dsl to query Elasticsearch in python
Querying Elasticsearch with the Elasticsearch API in python can be very verbose and challenging because you might need to write long nested dictionaries. Writing such code is prone to syntax errors. In this talk Cam will discuss the elasticsearch_dsl library for python, this is a library that allows you to query Elasticsearch in a more elegant way.
Cameron Nelson is a Mechatronics Engineering Student at the University of Waterloo. He is currently doing a co-op as a Data Automation Developer at MappedIn.