Launch Data Studio and create a blank report
Explore and Create Reports with Data Studio
Google Data Studio turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions.
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.
The dataset used in this lab is an ecommerce dataset that has millions of Google Analytics records for the Google Merchandise Store loaded into BigQuery. You will explore the available fields and row of the dataset for insights.
This lab focuses on how to create new reports and explore your ecommerce dataset visually for insights.
What you'll do
In this lab, you:
Launch Data Studio
Create and manipulate a report
Create an interactive filter for your report
Setup and requirements
Before you click the Start Lab button
Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you.
This Qwiklabs hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab.
What you need
To complete this lab, you need:
- Access to a standard internet browser (Chrome browser recommended).
- Time to complete the lab.
Note: If you already have your own personal Google Cloud account or project, do not use it for this lab.
Note: If you are using a Pixelbook, open an Incognito window to run this lab.
Join Qwiklabs to read the rest of this lab...and more!
- Get temporary access to the Google Cloud Console.
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