Exploring Your Ecommerce Dataset with SQL in Google BigQuery

Exploring Your Ecommerce Dataset with SQL in Google BigQuery

Google LIS-GOOGLE-2222

EUR 7.90
excl. VAT

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 will learn

In this lab, you use BigQuery to:

  • Access an ecommerce dataset

  • Look at the dataset metadata

  • Remove duplicate entries

  • Write and execute queries

In this lab, you learn to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.
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