Sync data from Google BigQuery to Microsoft Teams

Sync your data from Google BigQuery to Microsoft Teams with DataChannel in minutes without writing any code or scripts. Select and map the fields you want to load and retain complete control over the data you are moving.

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Microsoft Teams

About Microsoft Teams

The Microsoft Teams Reverse ETL connector enables streaming data from a user determined warehouse to the Microsoft Teams in an automated manner.

Check more about Microsoft Teams api documentation here.

See where you can sync data to in Microsoft Teams

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This sync can be used to request and retrieve data from a user specified data warehouse to a Microsoft Teams channel.

Steps to sync data to Microsoft Teams from Google BigQuery using DataChannel

BigQuery to Microsoft Teams

1. Setup a Data Warehouse - Go to Data Warehouses Tab and add a BigQuery Warehouse. 

*To understand how to add a BigQuery Data Warehouse check out this video.

2. Setup a Data Model - Navigate to Data Models tab and click on Create New. Name your Data Model and select your data warehouse from the drop down. Write a SQL query to fetch data from your warehouse. 

(Eg. Select * from Schema_Name.Table_Name)

*A simple “select” statement will work, although you can write complex SQL queries in the data model field itself or use our no-code segment builder to filter your data without writing complex SQL Queries.

3. Configure your Data Destination - Navigate to Destinations tab and select Microsoft Teams.

  • Add Your Credentials using the “+” Button.
  • Click on “+Data Sync” to start adding Data Syncs to your account.

Why choose DataChannel to sync data from Google BigQuery to Microsoft Teams

Granular control over pipeline configuration
Advanced scheduling options
Automated handling of source schema changes
Secure credential management with OAuth2
Activity & change history tracking
Real time alerts & failure notifications
Preview data without ever leaving the platform
Extensive documentation & on-screen help
Extensive Logs & complete visibility of pipeline health

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