When creating a dataset copy transfer in BigQuery, the Schedule Options section provides several options to customize and automate the transfer process. These options allow users to specify the frequency, start time, and time zone for the transfer, ensuring that the data is copied at the desired intervals and in the correct time zone.
1. Frequency: The first option in the Schedule Options section is the frequency setting. This setting determines how often the dataset copy transfer should occur. Users can choose from various frequency options such as once, hourly, daily, weekly, or monthly. Selecting the appropriate frequency ensures that the data is copied at the desired intervals, whether it is every few minutes, every day, or on a specific day of the week or month.
2. Start Time: The start time option allows users to specify the exact time at which the dataset copy transfer should begin. This setting is particularly useful when users want to schedule the transfer to start at a specific time, such as during off-peak hours or when the source dataset is expected to be fully updated. Users can input the start time in the format of HH:MM, using a 24-hour clock.
3. Time Zone: The time zone option enables users to select the appropriate time zone for the dataset copy transfer. This setting is important when dealing with datasets located in different time zones or when the destination dataset requires data to be copied in a specific time zone. Users can choose from a wide range of time zones available in BigQuery, ensuring that the transfer is synchronized correctly.
By combining these options, users can create a dataset copy transfer that meets their specific requirements. For example, a user can set the frequency to daily, the start time to 02:00, and the time zone to "America/Los_Angeles" to schedule a daily dataset copy transfer at 2:00 AM Pacific Time.
The Schedule Options section in BigQuery provides users with the flexibility to customize the frequency, start time, and time zone for dataset copy transfers. This allows for efficient and automated data copying, ensuring that the destination dataset is always up to date.
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