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Load job with flexible column name preview access (CSV & Parquet only)
BigQuery until now only supported column names that were alphanumeric and underscore characters. With this new release, users have more flexibility in naming your column names, including unicode column names in various international languages, connector punctuation characters, special ASCII characters, etc. You can find the detailed documentation here: link

Today if you are loading CSV files with auto-detect or PARQUET files, BigQuery will automatically normalize your column names using underscore to obey this naming convention. With this new release, previously invalid names will now be supported. However, this also means it might affect your downstream data pipelines. That is why we wanted to create this allowlist to ensure you are aware of the implications and encourage you to make corresponding changes to your data schemas, if needed, before using the load job with the flexible column names.

Once you submit this request, you can expect your project to be activated within 7 business days. Thanks!
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Please select the file format that you plan to use. If there are other formats that you currently use, please check the Other box for us to consider supporting *
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What GCP project IDs would you like to be allowlisted? (please provide the numerical IDs, not textual) *
Your Company Name *
Your Name *
Your Role (select one or more) *
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Name of Google Point of Contact, if any (account representative, customer engineer, professional services engineer or technical account manager)
Any any feedback that want to share regarding flexible column name support in BigQuery or general feedback on BigQuery SQL capabilities are also welcomed. 
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