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How to move data from Cloud SQL to BigQuery

By Nick Barth

Updated on March 6, 2024

To move data from Cloud SQL to BigQuery within the Deepnote environment, you would first need to export your Cloud SQL data to a format that BigQuery accepts. One common method is to export the data to either CSV or newline-delimited JSON. Once you have exported the data, you can then upload it to a designated Google Cloud Storage bucket.

After the data is uploaded, you can proceed with importing it into BigQuery using either the BigQuery Data Transfer Service or the Command-Line tool `bq`. Both options offer a seamless transfer process, ensuring that your data is successfully imported into BigQuery.

However, it is important to note that during the transfer process, you should ensure that your data is cleaned and formatted to match BigQuery's schema requirements. This step is crucial to avoid any potential issues or inconsistencies in the data once it is imported into BigQuery.

By following these steps and paying attention to the details, you can ensure a smooth and efficient transfer of your Cloud SQL data to BigQuery within the Deepnote environment.

Nick Barth

Product Engineer

Nick has been interested in data science ever since he recorded all his poops in spreadsheet, and found that on average, he pooped 1.41 times per day. When he isn't coding, or writing content, he spends his time enjoying various leisurely pursuits.

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