#MigrateMicrosoftSQLServertoSnowflake

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Steps to Migrate Data From Microsoft SQL Server to Snowflake in Minutes

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.

Knowing SQL Server

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. 

Knowing Snowflake

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.   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. Extract data from SQL Server – The first step is to mine data from the SQL Server. For users of databases, the most preferred process is to use queries for extraction. Select statements are used to sort, filter, and limit the data while retrieving it. Microsoft SQL Server Management Studio is used to extract bulk data when exporting entire databases in CSV, text, or SQL queries formats. 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. Image Source - https://www.bryteflow.com/

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