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Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. When paired with CData Connect AI, you get access to BigQuery data for visualizations, dashboards, and more. This article shows how to connect to BigQuery in CData Connect AI, publish a dataset from Power BI Desktop to the Power BI Service and then create reports on BigQuery data in the Power BI service.
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Connectivity to BigQuery from Power BI Service is made possible through CData Connect AI. To work with BigQuery data from Power BI Service, we start by creating and configuring a BigQuery connection.
With the connection configured, you are ready to connect to BigQuery data from the Power BI service.
Once you connect to BigQuery in Connect AI, you can create a dataset in Power BI desktop and publish the dataset to the Power BI service.
Now that you have published a dataset to the Power BI service, you can create new reports and dashboards based on the published data:
Now you have a direct connection to live BigQuery data from the Power BI service. You can create more data sources and new visualizations, build reports, and more β all without replicating BigQuery data.
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.
Learn more about CData Connect AI or sign up for free trial access:
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