BigQuery : How do you set up and manage user access to BigQuery ? Step by Step explanation

BigQuery provides several ways to manage user access to its resources, including projects, datasets, and tables. Here’s an overview of the steps to set up and manage user access:

1. Create a project: To use BigQuery, you need to have a project. You can create a project through the Google Cloud Console.
2. Grant Access to Project: To grant access to a project, you need to add users to the project as either members or owners. Members have access to the project’s resources, while owners have administrative privileges and can manage the project’s resources.
3. Define Access Control: To define access control for your project’s resources, you need to create IAM policies. IAM policies specify the permissions for each role, such as what actions a role can perform, such as reading data from tables or writing data to tables.
4. Apply IAM Policies to Resources: To apply IAM policies to a resource, you need to assign a role to the resource. For example, to grant access to a dataset, you need to assign a role to the dataset, such as READER or WRITER.

Here is an example of setting up user access to BigQuery:

1. Create a project: Log in to the Google Cloud Console, select the project you want to manage, and go to the IAM & Admin section.
2. Grant Access to Project: To grant access to the project, add users as members or owners by clicking on the “Add” button and entering the email address of the user you want to add.
3. Define Access Control: To define access control, go to the IAM & Admin section and create IAM policies. For example, to grant a user the ability to read data from a dataset, you can create a policy with the following JSON:

{
  "bindings": [
    {
      "role": "roles/bigquery.dataViewer",
      "members": [
        "user:Merlin.Peter@freshers.in"
      ]
    }
  ],
  "etag": "CvXXXfjuhgyr=",
  "version": 3
}