![]() These SSIS PowerPack connectors will be used to achieve the task:īefore we perform steps listed in this article, you will need to make sure following prerequisites are met: To show how data loading works in Snowflake, we will take 10 million rows from SQL Server and load them into Snowflake using SSIS and ZappySys SSIS PowerPack. Specifically, you pay only for each second of the processing time you use. Snowflake is an elastic service, which means you pay only for the resources used. Both engines can work independently thus users that are querying a data warehouse are not affected by a data load that is happening at the same time. Another part of Snowflake is a computing engine that is responsible for serving your SQL queries. It allows integrating many data sources via internal Snowflake Partner apps and loading them into the Snowflake storage engine. Basically, it is a data warehouse software exposed as a service. Snowflake is a data warehousing platform that resides in a cloud. ![]() In this article, we will cover the points on how to load 10 million rows from SQL Server to Snowflake in just 3 minutes. 3.10 Add Execute Process Task to copy files from the Snowflake/Amazon S3 stage to Snowflake table.3.9 Add Execute Process Task to upload files to the staging area (local staging approach only).3.8 Add Execute Process Task to create a staging area.3.7 Add & configure ZappySys Export CSV Task. ![]() 3.3 Install and configure SnowSQL command-line tool.3 Step-by-step – How to load 10 million rows from SQL Server to Snowflake in 3 minutes. ![]()
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