Wednesday 6th April, 2016
5:00pm to 6:30pm
Humanity has dramatically increased it’s ability to generate and retain astronomically large amounts of data in the last decade. Sooner or later you probably will be working on a project with “Data Science” component to it and this talk will help you get ready by going over key considerations when incorporating complex analytical solutions into your production systems.
Join us for an exploratory journey into the world of Data Science: What it is, the challenges it presents, and the mindset, tools and terminology that are integral to this new area of computer and software engineering.
This talk will focus on answering these questions in production systems: What is special about the computing environments needed to do data science? What should we focus on when designing data transport and routing options in data science? What is special about a test environment for Data Science applications?
The solutions that we will talk about are a combination of tried-and-true software engineering techniques as well as other approaches that go counter to our intuition when doing most non-data-science projects. At the end the talk will focus on helping you reason though the different design trade-offs when creating a sane and reliable production system.
PhD, Data Scientist, EnerNOC
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