Google BigQuery Date Functions

Published: 03 July 2022
on channel: Analytics with Adam
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This video will cover some Google BigQuery SQL Date Functions for beginners. The BigQuery SQL Date Functions we will cover are the following.

1. The date_diff function, which allows the user to extract the difference between two dates in SQL measure in a selected date part, in the video we look at day, month and hour, for a full list of date parts please refer to the BigQuery SQL Date Functions documentation which we have a link to below.

The date difference function needs to be formatted as date_diff(later date col, earlier date col, date part)

2. The extract function can extract a part of a date to be used for analytics / aggregation. The extract function needs to be formatted as extract(date part from date column)

3. The last day function converts a date to the last day of the month it occurs in, perfect for aggregating values.

4. The format date function formats the date in to different date formats. FORMAT_DATE("%x", date)

You can find the date function documentation here https://cloud.google.com/bigquery/doc....

You can find the date format documentation here
https://cloud.google.com/bigquery/doc...


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