Project Description
A strategic data centre development solution that layers GIS data to answer relevant questions in data centre location selection.
The Data Down Under Application
A closeup of Sydney in the Data Down Under Application
It aims to answer 5 specific key categories in mapping for Development Suitability, Land cost, environmental risks, Latency analysis and access to resources.
Each of these categories are made up of relevant datasets that aggregate to a scoring system that help shareholders determine a location that best meets their needs.
Visualizing data sets using Kepler
Australia Land use data
Australian Water observations - indicating flood risk
Data Centre Down Under has chosen these categories to answer questions of an optimal data centre location from multiple perspectives. Vested interests have different priorities when it comes to filtering out these locations. These perspectives include the Australian government, data centre investors and energy providers.
Data Story
Our Solution aims to provide data to answer questions in data centre development for a range of stakeholders- government, data centre investors and energy providers. It does this by layering relevant GIS data to visualise an aggregate map that shows optimal locations for site selection. The solution analysis data upon 5 key categories: Development Suitability, Land Cost, Risk Assessment, latency analysis and resource access. Development Suitability compares greenfield and brownfield sites based on total cost of ownership (land cost, energy connection cost and construction costs). Risk Assessment layers GIS data for affected areas of natural disasters (flood maps, bushfire maps). Latency analysis maps which shows proximity to population centres combined with ISP telecommunication infrastructure data to find ideal data centre sites that result in low latency performance.
Additional Evidence of Work
Note that we have additional Evidence of Work dataset cleanup scripts here:
https://github.com/rendermaniac/DataDownUnder
