google-big-queryHow can I use Google Big Query with Azure?
Google BigQuery can be used with Azure in two ways:
-
Using Azure Data Factory. Data Factory is an Azure service that allows you to orchestrate and automate data movement and transformation. It can be used to move data from Google BigQuery to Azure data stores, such as Azure SQL Database or Azure Data Lake Store.
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Using Azure Databricks. Databricks is an Apache Spark-based analytics platform that can be used to analyze data stored in Google BigQuery.
An example of how to use Azure Data Factory to move data from Google BigQuery to Azure SQL Database is shown below:
#Create a pipeline in Data Factory
az datafactory pipeline create --name mypipeline --resource-group myresourcegroup
#Add a copy activity to the pipeline
az datafactory activity copy create --name mycopyactivity --pipeline-name mypipeline \
--resource-group myresourcegroup \
--source-type GoogleBigQuery \
--sink-type SqlDWSink \
--sink-sql-connection-string "<Azure SQL Database connection string>"
#Run the pipeline
az datafactory pipeline run --name mypipeline --resource-group myresourcegroup
This will copy the data from Google BigQuery to Azure SQL Database.
Helpful links
More of Google Big Query
- How can I use IFNULL in Google BigQuery?
- How can I use Google Big Query to count the number of zeros in a given dataset?
- How do Google BigQuery and Azure compare in terms of performance and cost?
- How do I use Google BigQuery indexes to optimize my queries?
- How can I calculate the cost of using Google BigQuery?
- How do I set up a Google Big Query zone?
- How do I use Google Big Query with Excel?
- How do I use Google BigQuery language to query data?
- How do I use the YEAR function in Google BigQuery?
- ¿Cuáles son las ventajas y desventajas de usar Google BigQuery?
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