Sync data from Google BigQuery to Azure Blob Storage

Sync your data from Google BigQuery to Azure Blob Storage 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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Azure Blob Storage

About Azure Blob Storage

Azure Blob Storage stores text and binary data as objects in the cloud. Blob Storage offers the following resources: the storage account, containers, and blobs. Within your storage account, containers provide a way to organize sets of blobs.

Check more about Azure Blob Storage api doc here.

See where you can sync data to in Azure Blob Storage

Export

This sync enables moving data from a user specified datawarehouse to the Azure Blob Storage.

Steps to sync data to Azure Blob Storage from Google BigQuery using DataChannel

BigQuery to Azure Blob Storage

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 Azure Blob Storage.

  • 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 Azure Blob Storage

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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