How to connect Azure SQL as External data sources with Google BigQuery
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How to connect Azure SQL as External data sources with Google BigQuery
Connecting Azure SQL as an external data source with Google BigQuery can be done using BigQuery Omni. Here's a step-by-step guide to help you get started:
Create a Google Cloud Project: Ensure you have a Google Cloud project with the BigQuery Connection API enabled.
Set Up Azure Resources: You'll need an Azure tenant with an Azure subscription and an Azure SQL Database.
Create an Application in Azure: Register an application in your Azure tenant to manage the connection.
Create a Federated Credential: Add a federated credential for your application to enable secure access.
Assign Roles: Assign the necessary roles in both Google Cloud and Azure to grant access. In Google Cloud, you'll need the BigQuery Connection Admin role. In Azure, you'll need permissions like Application.ReadWrite.All and AppRoleAssignment.ReadWrite.All.
Create the Connection: Use the BigQuery Connection API to create a connection between your Google Cloud project and Azure SQL Database.
Query Data: Once the connection is established, you can query the Azure SQL Database data directly from BigQuery.
External Tables
External tables in Google BigQuery allow you to query data stored outside of BigQuery without having to load it into BigQuery storage. Here are some key points:
Data Sources: You can use external tables to query data stored in Cloud Storage, Google Drive, Bigtable, and other supported data stores.
Read-Only: External tables are read-only, meaning you can query the data but not modify it.
Schema Definition: You define the schema of the external table in BigQuery, which matches the structure of the data in the external source.
Performance: Query performance might be slower compared to querying data stored directly in BigQuery, as it depends on the external data source.
Use Cases: Ideal for one-time queries, ETL processes, or when you need to access data without moving it into BigQuery.
Federated Queries
Federated queries enable you to query data from external databases directly within BigQuery. Here are some key points:
Data Sources: You can use federated queries to access data from databases like Cloud SQL, Spanner, AlloyDB, and SAP Datasphere.
Temporary Tables: The results of a federated query are returned as a temporary table in BigQuery.
SQL Syntax: You use the EXTERNAL_QUERY function in your SQL query to execute a query on the external database.
Data Integration: Federated queries allow you to integrate data from multiple sources without moving the data, providing a unified view.
Performance: Similar to external tables, federated queries might have slower performance compared to querying data stored in BigQuery.
Both external tables and federated queries are powerful tools for accessing and analyzing data stored in various external sources without the need to import it into BigQuery. They help maintain data in its original location, improving data governance and reducing the overhead of data movement.
For detailed instructions, you can refer to the Google Cloud documentation on connecting to external data sources https://cloud.google.com/bigquery/doc...
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