This article offers a comprehensive, step-by-step guide for integrating Azure Blob Storage with a Snowflake account hosted on AWS using storage integration. It covers key topics such as setting up permissions, creating storage integration, and configuring an external stage for efficient data loading and unloading. Through practical examples, you’ll learn how to seamlessly connect Snowflake and Azure, ensuring secure data transfers and leveraging Snowflake’s staging functionality to streamline data management across cloud platforms. This guide is designed to simplify the process and enhance the efficiency of cross-cloud data operations.
Read more: Integrating Azure Blob Storage with Snowflake on AWS: A Guide to Storage Integration and Staging DataSHOW STAGES;
DESCRIBE STAGE my_azure_stage;
LIST @my_azure_stage;
CREATE OR REPLACE FILE FORMAT CSVFORMAT_QUOTES TYPE = 'CSV' FIELD_DELIMITER = ',' FIELD_OPTIONALLY_ENCLOSED_BY='"' SKIP_HEADER = 1 ;
SELECT file.$1 as user_id, file.$2 as name, file.$3 review_count , file.$4 as useful, file.$5 as fans, file.$6 as average, file.$7 as joined_date
FROM @my_azure_stage/dataimports/reviews/users.csv (file_format => CSVFORMAT_QUOTES ) FILE
LIMIT 100;
https://docs.snowflake.com/en/sql-reference/sql/create-storage-integration
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