Exploring Your Ecommerce Dataset with SQL in Google BigQuery
BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
We have a newly available ecommerce dataset that has millions of Google Analytics records for the Google Merchandise Store loaded into a table in BigQuery. In this lab, you use a copy of that dataset. Sample scenarios are provided, from which you look at the data and ways to remove duplicate information. The lab then steps you through further analysis the data.
To follow and experiment with the BigQuery queries provided to analyze the data, see Standard SQL Query Syntax.
What you'll do
In this lab, you use BigQuery to:
Access an ecommerce dataset
Look at the dataset metadata
Remove duplicate entries
Write and execute queries
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