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Better Working World Data Challenge

Welcome!

This github repository has been created for participants in the Better Working World Data Challenge. The repository contains code and documentation used to set up and manage a data and analytics environment for completing the Challenge. For further information on the challenge itself, please refer to the EY Challenge Website.

To get started on the Challenge, read the briefing provided on the challenge site and then begin the steps outlined in this wiki. If you are a student, be sure to redeem your complementary Azure credits through the EY Challenge Website! The credits are available even if you've previously had a Azure for Students account.

We encourage you to join the conversation on the Discussion Board where you can submit questions if you need help.

View the Challenge 1 and Challenge 2 benchmark notebooks we've created to help you get started on your data science journey.

Contents

EY has been working closely with NASA and Microsoft to provide a suitable environment for developing your solution to the Challenge. Check out the menu on the right to deploy your very own instance of the environment which contains all the data and technology you need.

• Section 1 covers getting set up with your analysis environment. This means creating the place where you will write your code and work on your solution to the Challenge. You have a couple of options depending on your preferred infrastructure. We recommend going with Azure.

• Section 2 covers using your environment, some best practices for teaming and competing in the Challenge.

• Section 3 covers managing your environment, including cost and resource management. This section is especially useful if you are using Azure.

• Section 4 covers troubleshooting. We’ll be continuously updating this section throughout the Challenge so check back here if you have any infrastructure or deployment related issues.

• Section 5 covers some additional options for advanced users. If you want to use services such as Azure Machine Learning, or do large file transfers to or from your environment check out this section.