Analyzing Clickstream Data With Spark

Tony Cruz and Denny Lee analyze advertising data in Spark and predict click counts given certain input features:

Let’s look at a concrete example with the Click-Through Rate Prediction dataset of ad impressions and clicks from the data science website Kaggle.  The goal of this workflow is to create a machine learning model that, given a new ad impression, predicts whether or not there will be a click.

To build our advanced analytics workflow, let’s focus on the three main steps:

  • ETL

  • Data Exploration, for example, using SQL

  • Advanced Analytics / Machine Learning

The Databricks blog has a couple other examples, but this was the most interesting one for me.

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