Name: Using Python with a Massively Parallel Database to Predict COVID-19 Numbers
Start: 2020-07-07T14:00:00-04:00
End: 2020-07-07T15:00:00-04:00

Register here: https://bit.ly/3e483H5

Python is a powerful programming language that is a good choice for many types of analytics. It is rapidly becoming the language of choice for scientists and researchers of many types. Now by combining a massively parallel (MPP) database like Vertica with Python, you can overcome many scale and analytics challenges that can limit Python users.

Join this session to see a live demo of Vertica’s built-in integration with Python to measure and predict key numbers of the COVID-19 pandemic by using historical data on the number of cases and fatalities per state to predict the results for the following day.

Register here: https://bit.ly/3e483H5

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Using Python with a Massively Parallel Database to Predict COVID-19 Numbers

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DSS Montreal | R User Group

Using Python with a Massively Parallel Database to Predict COVID-19 Numbers

DSS Montreal | R User Group

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