Before going into the process of migrating databases from SQL Server to Snowflake, let us evaluate why you should do so.
First, unlike SQL Server, Snowflake offers unlimited storage space and users can download required resources by paying for that volume only. Next, Snowflake has high computing powers and there is no drop in performance even when multiple users simultaneously execute intricate queries.
An important reason for migrating databases from SQL Server to Snowflake is that data in its native form can be loaded directly into Snowflake without the need to format it. Finally, since Snowflake is based in the cloud, there is no need to define indexes before clustering data.
Click here to learn more about migrating data from SQL Server to Snowflake.
How to migrate databases from SQL Server to Snowflake?
There are four stages in this process.
Extract data from SQL Server using select statements and queries for extraction. Use the Microsoft SQL Server Management tool to extract large databases in text, CSV, or SQL query formats.
Process and format this mined data to a structure that is supported by Snowflake.
Place this formatted data in a temporary internal or external location.
The final step in the SQL Server to Snowflake database migration is to move the data from the temporary location to Snowflake. For large databases, use the Snowflake Data Loading Overview tool. Execute the PUT command to stage the files first and then use the COPY INTO command to load the data from the staging area to Snowflake. The Snowflake data loading wizard may be used for small databases.
The complete process of SQL Server to Snowflake database migration process is fully automated and done without any human intervention.
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