Open Tech Calendar

Welcome to our second event in the series of virtual PyData Edinburgh! As in the case of the last one, we're keeping this into the 1-hour format, and we will have a main talk plus a Q&A session at the end. We will meet at 7pm, use the Zoom link which will be provided in the registration email once you RSVP.

As always, let us know if you would like to give a talk, whether a main or a lightning one, we're always looking out for speakers (as you know!).

MAIN TALK:
=====================================================================
Bio: Following a career as a highly qualified IT manager working in the oil and gas sector, Alex McCall joined the National Records of Scotland, before pursuing his passion for data and studying for a masters degree. Alex is now a data scientist working with the rapidly growing data science company Effini, helping businesses of all kinds gain a competitive edge through data.

----------------------------------------------------------------------------------------------------

Abstract: Commercially successful data science delivery demands that applications are economical to run, secure and relevant to the customer. Costs can run out of control and basic security requirements can be breached, leaving the company exposed. Too often, meet-ups, academic lectures and books focus on the technical aspects, but do not always demonstrate how to commercialise and deliver the application.

This talk charts the personal development of the speaker during development of a dashboard application for a holiday company. It includes key decisions (and mistakes) and obstacles that led to the final design. This journey started from zero knowledge of Data Science, zero knowledge of R and zero knowledge of Cloud Computing. It highlights key areas of data security and cloud architecture needed as the application moved from concept, through to prototype and then final commercial delivery.

The R Shiny application was delivered on a Docker container running on AWS Elastic Container Services, secured with AWS Cognito authentication and a secure Virtual Private Cloud.

LOGISTICS
===========
1845: Zoom Waiting room will open
1900: Meetup will start - welcome & community announcements followed by our main speaker, and then Q&A
We'll aim to be finished by 2000

REMOTE MEETINGS
===================
Please remember the Code of Conduct applies to a remote meeting as well.

When you join the meeting, your microphone will be muted, and your camera switched on, we miss you all, it's nice to see you! Once the talk starts, feel free to switch your camera off.

We'll use the chat channel in Zoom to deal with any issues, and we'll advise on how we will run the Q&A at the start of the session.

SPONSORS
=============================
While we might not be making such full use of our sponsors as we normally do, we still appreciate all they do for us to allow us to run this group - so thanks to Cathcart Associates, Wood Mackenzie, Solarwinds, Lloyds Banking, Canon Medical and Effini.

CODE OF CONDUCT
====================

Though virtual, our Code of Conduct still applies to all attendees, organisers and speakers. Please take the time to read through if you haven't before, we really appreciate your help to maintain a welcoming and friendly PyData community.

The PyData Code of Conduct (pydata.org) governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS using the link found at numfocus.org.