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connecting microsoft power bi to google bigquery: a comprehensive tutorial

this tutorial provides a detailed, step-by-step guide on how to connect microsoft power bi to google bigquery. we'll cover the necessary prerequisites, configuration steps, authentication methods, and provide practical code examples to help you visualize and analyze your bigquery data within power bi.

*i. prerequisites:*

before you begin, ensure you have the following in place:

*google cloud platform (gcp) account:* you need an active gcp account with access to bigquery.
*bigquery dataset and tables:* you need a dataset and at least one table in bigquery containing the data you want to analyze.
*google cloud sdk (optional but recommended):* installing the google cloud sdk allows you to manage your gcp resources from the command line, which can be helpful for certain configuration tasks. download it from: [https://cloud.google.com/sdk/docs/ins...](https://cloud.google.com/sdk/docs/ins...)
*power bi desktop:* you'll need the power bi desktop application installed on your computer. download it from: [https://powerbi.microsoft.com/en-us/d...](https://powerbi.microsoft.com/en-us/d...)
*power bi service (optional but recommended):* to publish and share your reports, you'll need a power bi service account.
*power bi gateway (optional but recommended for cloud-based connections):* if your bigquery data source is not publicly accessible and/or you're using the power bi service, you'll need a power bi gateway. this acts as a bridge between the power bi service and your bigquery instance. we'll cover this in more detail later.
*service account with bigquery permissions:* you'll need a google cloud service account with the necessary permissions to read data from your bigquery dataset(s).

*ii. creating a service account in google cloud platform:*

a service account is a special type of google account intended for non-human users. it pr ...

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