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Google Cloud Data Fusion simplifies building and managing data pipelines by offering a visual interface to connect, transform, and move data across various sources and destinations, streamlining data integration processes. When combined with CData Connect AI, it provides access to Facebook data for building and managing ELT/ETL data pipelines. This article explains how to use CData Connect AI to create a live connection to Facebook and how to connect and access live Facebook data from the Cloud Data Fusion platform.
Connectivity to Facebook from Cloud Data Fusion is made possible through CData Connect AI. To work with Facebook data from Cloud Data Fusion, we start by creating and configuring a Facebook 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 Facebook data from Cloud Data Fusion.
Follow these steps to establish a connection from Cloud Data Fusion to Facebook through the CData Connect AI JDBC driver:
jdbc:connect:AuthScheme=Basic;user=username;password=PAT;
Please be aware that there is a known issue in Cloud Data Fusion where "int" types from source data are automatically cast as "long".
Now you have a direct connection to live Facebook data from from Google Cloud Data Fusion. You can create more connections to ensure a smooth movement of data across various sources and destinations, thereby streamlining data integration processes - all without replicating Facebook data.
To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources (including Facebook) directly from your cloud applications, explore the CData Connect AI.
Learn more about CData Connect AI or sign up for free trial access:
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