BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working in conjunction with Google Storage. If you’re building new integrations to drive data in and out of BigQuery, the general recommendation is to leverage the native API. But an additional approach is using standard SQL dialect, which BigQuery supports. To aid with this, Google provides ODBC/JDBC drivers that allow users to connect to BigQuery for just this purpose. While it only exposes a subset of the full capabilities of BigQuery, the drivers are an easy way to interact with the data. Coupled with MuleSoft, we make it even easier for users by providing connectors to abstract the complexity of writing custom code. Using the Database connector with the JDBC drivers allows users to select, insert, and update data easily from BigQuery. This article will walk you through the process of connecting to BigQuery using the MuleSoft Database connector.
This article assumes you already have experience with the MuleSoft Anypoint Studio 7.x and the Database Connector. For the purpose of highlighting the usage of the Database connector with BigQuery, I have the following flow setup that you can set up easily by dragging an HTTP Listener, the Select operation for the Database component, and the Transform Message component. https://goo.gl/KZqKbi
