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Power Query is a data transformation and data preparation engine. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Gmail data from Power Query. This article shows how to connect to Connect AI from Power Query through Microsoft Excel and get live access to Gmail data for transformation and preparation.
CData Connect AI provides a pure SQL, cloud-to-cloud interface for Gmail, allowing you to easily integrate with live Gmail data in Power Query β without replicating the data. CData Connect AI looks exactly like a SQL Server database to Power Query and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Gmail, leveraging server-side processing to quickly return Gmail data.
Connectivity to Gmail from Power Query is made possible through CData Connect AI. To work with Gmail data from Power Query, we start by creating and configuring a Gmail connection.
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
With the connection configured and a PAT generated, you are ready to connect to Gmail data from Power Query.
With the connection to Connect AI configured, you are ready to work with live Gmail data in Power Query.
At this point, you have live access to Gmail data from Power Query for transformation and preparation.
π Working with data in Power Query (Salesforce is shown)Now you have a direct connection to live Gmail data from Microsoft Power Query. You can create more connections and transform and preparte your data to better drive business β all without replicating Gmail data.
To get real-time 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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