Master Data Exploration with Spark: Key Techniques & Insights 🚀

Data Exploration with Spark

Data Exploration is a critical aspect of data science. In this video
I demonstrate data exploration and point out some findings that would
Force a decision on how to use the data.

The overall environment is a Jupyter notebook using Python and Spark DataFrames.
You can create a free IBM Watson Studio account using the following URL:

http://bit.ly/IBMWatsonStudioRegistration

If you want to know more about IBM Watson Studio, look at the
Watson Studio Platform playlist included in this channel:

http://bit.ly/WatsonStudioPlaylist

You can view the notebook used in this video using the flooring URL:

http://bit.ly/017-SparkExplorationViewNotebook

You can then download it and import the file to create a notebook.
This can be done in a one-step process by creating a notebook from a URL
using:

http://bit.ly/017-SparkExplorationImportNotebook

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