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Looker Studio, formerly known as Google Data Studio, empowers users to craft customized reports featuring data visualizations that can be shared with clients while reflecting your brand identity. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to Google Spanner data to create visualizations, dashboards, and more. This article provides step-by-step instructions on establishing a virtual database for Google Spanner and generating reports from Google Spanner data within Looker Studio.
CData Connect AI offers a seamless cloud-to-cloud interface tailored for Google Spanner, making it straightforward to construct reports directly from live Google Spanner data within Looker Studio without the need for data replication. As you create visualizations, Looker Studio generates queries to retrieve data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported query operations, including filters, JOINs, and more, directly to Google Spanner. This leverages server-side processing to swiftly provide the requested Google Spanner data.
This article requires a CData Connect AI instance and the CData Connect AI Connector for Looker Studio. Get more information on the CData Connect AI and sign up for a free trial at https://www.cdata.com/cloud.
Connectivity to Google Spanner from Looker Studio is made possible through CData Connect AI. To work with Google Spanner data from Looker Studio, we start by creating and configuring a Google Spanner connection.
With the connection configured, you are ready to connect to Google Spanner data from Looker Studio.
The steps below outline connecting to CData Connect AI from Looker Studio to create a new Google Spanner data source and build a simple visualization from the data.
Now you have a direct, cloud-to-cloud connection to live Google Spanner data from your Looker Studio workbook. You can create more data sources and new visualizations, build reports, and more β all without replicating Google Spanner data.
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