Before data on any platform will become an asset to any organization, it has to pass through processing stage to ensure quality and availability. Afterward, that data has to be available to users (both human and system users). The availability of quality data in any organization is the guarantee of the value that data science (in general) will be to that organization.
We are using the airline on-time performance dataset to demonstrate these principles and techniques in this hackerday and we will proceed to answer questions that can be found on the website like:
We will also transform the data access model into time series and demonstrate how clients can access data in our big data infrastructure using a simple tool like the Excel spreadsheet.
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