![]() Hevo Data, an official Snowflake Partner for Data Integration, simplifies the process of data transfer from FTP to Snowflake with an easy-to-use no-code interface. Method 2: Using Hevo Data to Connect FTP to Snowflake ![]() This method has considerable advantages but a few limitations as well which will be covered later in the article. This is a simple 4-step process that starts with downloading the data files from an FTP Server to the local client machine. Method 1: Using Custom ETL to Connect FTP to Snowflake There are two broad approaches to moving data from SFTP/FTP Server to Snowflake: However, in case you decide to opt for a third-party solution that can help you with creating and managing this data pipeline, Hevo Data is a Cloud ETL platform that offers such a service, along with many more Data Engineering pipeline management services. The following section describes the steps to be followed to develop a custom ETL solution to achieve the migration from FTP to Snowflake. In this blog, however, we are focusing our attention on data transfer from FTP to Snowflake. Data can be ingested into Snowflake from a variety of sources including popular Cloud storage like Amazon S3, GCS, etc. Snowflake is a popular Cloud Data Warehouse, that is primarily relational in nature, which also supports semi-structured data formats like ORC, JSON, XML, etc. The basic difference between the two protocols is the added security layer in SFTP that establishes a secure connection between the client and the server based on an authentication method (such as username/password). Secure File Transfer Protocol/File Transfer Protocol ( SFTP/FTP) are network protocols that facilitate data transfer between client and server systems. It also sheds light on the limitations of this approach so that you can take the path that suits your use case best. This blog covers the first approach of moving data from FTP to Snowflake in detail. Method 2: Using Hevo Data to Connect FTP to Snowflake.Method 1: Using Custom ETL to Connect FTP to Snowflake. ![]()
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