Stay organized with collections
Save and categorize content based on your preferences.
Quickstart demo
This page describes how to get started with data preparation and setup cloud
automation for running Google Meridian
using Cortex for marketing predefined
data models for model inputs in its demo
instance in Cloud Shell. This demo includes automatic generation of
BigQuery datasets, automatic permission granting,
and sample test data. For information about deployment in production environments, see
Meridian deployment for Cortex Framework.
For this demo deployment, we recommend using a new Google Cloud project.
In some cases when using older projects, you might encounter the following error
during workflow creation:
ERROR: (gcloud.workflows.deploy) FAILED_PRECONDITION: Workflows service agent does not exist.
To resolve this, rerun the deployment script. This will ensure the necessary
service agent is created and complete the deployment.
This demo deployer automatically executes the notebook as part of the
deployment process. To begin the demo:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-04-25 UTC."],[],[]]