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| This application needs additional settings. Please follow the documentation below to create your own connectionUnique, active service acces point to a network. There are different types of connections (API key, Oauth…).. |
The BigQuery modulesThe module is an application or tool within the Boost.space system. The entire system is built on this concept of modularity. (module - Contacts) enable you to monitor tables and completed query jobs, and create, retrieve, update, or delete datasets and tables in your BigQuery account.
In order to use BigQuery with Boost.spaceCentralization and synchronization platform, where you can organize and manage your data. IntegratorPart of the Boost.space system, where you can create your connections and automate your processes., it is necessary to have a Google account and a Google Cloud Platform project created.
For the list of available endpoints, refer to the BigQuery API Documentation.
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Boost.space Integrator‘s use and transfer of information received from Google APIs to any other app will adhere to Google API Services User Data Policy. |
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Log in to your Boost.space Integrator account, add a BigQuery moduleThe module is an application or tool within the Boost.space system. The entire system is built on this concept of modularity. (module - Contacts) to your scenarioA specific connection between applications in which data can be transferred. Two types of scenarios: active/inactive., and click Create a connection.
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Optional: In the Connection name field, enter a name for the connection.
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Click the Sign in with Google button and select your Google account.
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Review the access information and click Allow.
You have successfully established the connection. You can now edit your scenario and add more BigQuery modules. If your connection requires reauthorization at any point, follow the connection renewal steps here.
Build BigQuery ScenariosA specific connection between applications in which data can be transferred. Two types of scenarios: active/inactive.
After connecting the app, you can perform the following actions:
Dataset
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List Datasets
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Get a Dataset
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Create a Dataset
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Update a Dataset
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Delete a Dataset
Table
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Watch Tables
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List Tables
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Get a Table
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Create a Table
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Update a Table
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Delete a Table
Table Data
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Watch Rows
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List Table Data
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Upload Data (Streaming)
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Update a File
Query Job
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Watch Query Jobs Completed
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List Jobs
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Write Query
Other
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Make an API Call