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ananya
New Member

Data Privacy in Power BI Service

If we choose the import option in a Power BI report, the data file will be saved in the Power BI service.
So, what other options do we have if we need Power BI to be on the Google Cloud Platform rather than Azure?

1 ACCEPTED SOLUTION
hackcrr
Super User
Super User

Hi, @ananya 

If you need to integrate Power BI with data stored on Google Cloud Platform (GCP) instead of Azure, there are several options you can consider. Each option depends on your specific data privacy and integration requirements. Here are the main approaches you can take:
1. Query Google BigQuery directly
Google BigQuery is a fully hosted data warehouse on GCP that supports direct querying from Power BI. This allows you to keep your data in the GCP while using Power BI for visualization and analysis.
2. Dataflows in Power BI
Power BI Dataflows can connect to a variety of cloud data sources, including Google Cloud Storage and Google BigQuery.This allows you to preprocess and store data in the Power BI service without having to import it directly.
3. If Power BI does not directly support data sources on GCP, you can create custom connectors using Power Query and the M language. An abbreviated procedure for creating a custom connector is included below:
Develop a custom connector using the Power Query SDK.
Use the Power BI REST API or another API endpoint to access your data.
Deploy the custom connector and configure the data source in Power BI Desktop.
4. Exporting Data to Azure Synapse or SQL Database
If you prefer to use the full feature set of Power BI through import mode, consider exporting your data from GCP to an Azure-based data service on a regular basis.
5. Power BI Embedded
For better control of data privacy and embedded analytics, consider using Power BI Embedded in conjunction with your own data storage solution.
6. Use Third-Party Integration Tools
Several third-party tools can facilitate data integration between GCP and Power BI. Tools such as Fivetran, Talend, or Informatica can automate data pipelines and ETL processes.

 

Best Regards,

hackcrr

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

2 REPLIES 2
ReportGuru
Helper V
Helper V

Hi @ananya thanks for sharing these options for integrating Power BI with data stored on Google Cloud Platform (GCP). You've covered some great approaches. I'd like to add a few more points that could help in deciding the best method based on specific needs:

 

  1. Google BigQuery Connector: Power BI has a built-in connector for Google BigQuery, which makes it straightforward to query data directly from BigQuery. This can be a great option if you want to keep your data within GCP and take advantage of BigQuery's powerful querying capabilities.

  2. Dataflows: Using Dataflows, you can preprocess data from various GCP sources like Google Cloud Storage or BigQuery before bringing it into Power BI. This can help maintain data privacy while still leveraging Power BI’s analytics capabilities.

  3. Custom Connectors: As you mentioned, building a custom connector with the Power Query SDK can provide flexibility in accessing data stored in GCP. This approach might require some development effort, but it can be tailored to specific data privacy requirements.

  4. ETL Tools: Tools like Fivetran, Talend, and Informatica are excellent for setting up automated data pipelines between GCP and Power BI. They can help streamline the process of moving data while ensuring it remains secure and compliant with privacy regulations.

  5. Power BI Embedded: If you’re looking for more control over data privacy, using Power BI Embedded along with your GCP data can be a good solution. It allows for custom analytics experiences while keeping data within your preferred cloud environment.

Additionally, if you need a more seamless integration between Power BI and GCP data sources, you might want to explore third-party connectors like Windsor.ai, which provides advanced connectivity options, including support for Google BigQuery and other GCP services. This can further simplify data integration while maintaining control over your data.

 

Hope this adds some value to the thread!

hackcrr
Super User
Super User

Hi, @ananya 

If you need to integrate Power BI with data stored on Google Cloud Platform (GCP) instead of Azure, there are several options you can consider. Each option depends on your specific data privacy and integration requirements. Here are the main approaches you can take:
1. Query Google BigQuery directly
Google BigQuery is a fully hosted data warehouse on GCP that supports direct querying from Power BI. This allows you to keep your data in the GCP while using Power BI for visualization and analysis.
2. Dataflows in Power BI
Power BI Dataflows can connect to a variety of cloud data sources, including Google Cloud Storage and Google BigQuery.This allows you to preprocess and store data in the Power BI service without having to import it directly.
3. If Power BI does not directly support data sources on GCP, you can create custom connectors using Power Query and the M language. An abbreviated procedure for creating a custom connector is included below:
Develop a custom connector using the Power Query SDK.
Use the Power BI REST API or another API endpoint to access your data.
Deploy the custom connector and configure the data source in Power BI Desktop.
4. Exporting Data to Azure Synapse or SQL Database
If you prefer to use the full feature set of Power BI through import mode, consider exporting your data from GCP to an Azure-based data service on a regular basis.
5. Power BI Embedded
For better control of data privacy and embedded analytics, consider using Power BI Embedded in conjunction with your own data storage solution.
6. Use Third-Party Integration Tools
Several third-party tools can facilitate data integration between GCP and Power BI. Tools such as Fivetran, Talend, or Informatica can automate data pipelines and ETL processes.

 

Best Regards,

hackcrr

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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