google-big-queryHow do I use Google BigQuery to store data in a bucket?

You can use Google BigQuery to store data in a bucket by creating a table in a dataset. To do this, you can run the following command in the BigQuery console:

bq mk --table --schema <schema> <dataset>.<table>

This command will create a table in the specified dataset, with the schema provided.

You can then use the bq load command to load data into the table from a CSV file or from Google Cloud Storage. For example, to load data from a CSV file stored in Cloud Storage:

bq load --source_format=CSV <dataset>.<table> <bucket>/<file> <schema>

This command will load the data from the specified file into the table, using the specified schema.

The parts of the command are as follows:

1. bq load: the command to load data into BigQuery
2. --source_format=CSV: the format of the source data (in this case, CSV)
3. <dataset>.<table>: the name of the dataset and table to load the data into
4. <bucket>/<file>: the location of the file in Cloud Storage
5. <schema>: the schema of the data

For more information, refer to the BigQuery documentation.

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