![]() Understanding the differences between these Snowflake timestamp types will help you choose the most suitable type for your specific data requirements. For example, a TIMESTAMP_TZ value may look like this: 13:49:41.000 -07:00, where 07:00 is the time zone offset from UTC. TIMESTAMP_TZ is appropriate for use cases where time zone information is crucial and should be preserved. TIMESTAMP_TZ (Time Zone): Stores date and time values with explicit time zone information.For example, a TIMESTAMP_LTZ value may appear as 13:49:41.000, but it will be displayed in the local time zone of the user viewing the data. TIMESTAMP_LTZ is ideal when you need to display the data in the user's local time zone without explicitly storing time zone information. TIMESTAMP_LTZ (Local Time Zone): Stores date and time values with automatic conversion to the local time zone of the user querying the data.For example, a TIMESTAMP_NTZ value may look like this: 13:49:41.000. TIMESTAMP_NTZ is suitable for scenarios where time zone information is irrelevant or not required. TIMESTAMP_NTZ (No Time Zone): Stores date and time values without time zone information.These data types store date and time values with different levels of time zone information: Snowflake offers several timestamp data types to cater to various use cases. ![]() In this blog post, we'll cover Snowflake timestamp types and provide examples of how to convert these types to UTC. Converting timestamps to Coordinated Universal Time (UTC) in Snowflake is an essential skill for managing and analyzing data. ![]()
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