Working with Azure SQL Data Warehouse (Part 2) - Exploring data

By for February 1, 2016

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Explore and visualize data that is in Azure SQL Data Warehouse.
This notebook demonstrates how you can connect to a Azure SQL Data Warehouse to explore and visualize the data that is stored there using popular data analysis packages in Python like pandas, numpy, matplotlib. It assumes you have run through the notebook titled "Working with Azure SQL Data Warehouse (Part 1)" to load the data into the Azure SQL Data Warehouse.

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