Microsoft SQL Server is flexible and versatile and is amenable to almost all SME needs and workloads. However, there are several things that Snowflake is better at and is the reason why organizations often migrate data SQL Server to Snowflake.
Microsoft SQL Server is a database server and its primary function is to store and retrieve data. It is an amalgamation of both the Structured Query Language (SQL) and the Relational Database Management System (RDBMS). A data center version is available for high levels of application support and scale while a lower scaled-down version caters to freeware. Applications are supported on a local area network or across the web on a single machine and a SQL Server blends easily into the full Microsoft Ecosystem.
Snowflake is a cloud-based Data Warehouse-as-a-Service (DWaaS) and runs on the popular cloud provider AWS. As in all other databases, it is possible to load and query structured relational data in the Snowflake tables through specific SQL data types like NUMBER, BOOLEAN, VARCHAR, TIMESTAMPS, and more.
There are several benefits to migrate data SQL Server to Snowflake.
These are some of the benefits offered by Snowflake that make businesses want to migrate data SQL Server to Snowflake.
Loading data from Microsoft SQL Server to Snowflake
There are quite a few steps to go through in the migration process. It can be done easily and in a few clicks only. However, if DBAs are not sure about the methodology, it is advisable to contact experts in the field.
Internal staging is created specifically with respective SQL statements. Here, users get a great degree of flexibility when they migrate data SQL Server to Snowflake as loading is made easier by allotting file formats and other options to named stages.
External staging refers to the locations supported by Snowflake, currently Amazon S3 and Microsoft Azure. The data is uploaded using the respective cloud interfaces.
PUT command to stage files
COPY INTO table command to load processed data into an intended table
Copy from local drive or an external staging location like Amazon S3 or Microsoft Azure where the data is located
A big help when migrating data to Snowflake is that it is possible to create a virtual data warehouse that facilitates the loading activity.
Once the data is migrated to Snowflake, provision should be there for loading fresh data. It will be tedious to load the entire SQL data again. Instead, create a script that would recognize new data in the source database and use an auto-field to continually update incremental data in the target database.
The process to migrate data SQL Server to Snowflake might initially seem complicated but with the right skills, one can easily go through it.
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