Google BigQuery + Data Alias: Protect a BigQuery query result before an AI tool sees it
Why use Google BigQuery with Data Alias
Query results are the fastest way to give an AI tool real numbers to reason about, and they tend to arrive with user IDs and emails attached.
How it works
Data Alias doesn't connect to Google BigQuery. A BigQuery connection would need database credentials and a path for your rows that runs through something other than your own browser. So the export stays your step: export the data from Google BigQuery, drop the file into Data Alias, and everything after that happens in your browser.
What it does
- Read a CSV query result in your browser
- Alias user and account IDs consistently within the file
- Leave numeric columns untouched by default
- Keep row order, column order and empty cells
How to use it
- 1
Run the query and save the result
Select only the columns the question needs, then save the query results as a CSV file.
- 2
Drop the file into Data Alias
The file is read in your browser tab. It is not uploaded anywhere.
- 3
Review the identifier columns
IDs, names and emails are suggested for aliases. Numeric measures are left as they are unless you choose otherwise.
- 4
Download the safe copy
Row order, column order and empty cells stay as they were. Use it in an AI tool, or keep the mapping to restore real values later.
What moves where
- What reaches Data Alias servers
- Nothing from the file.
- What reaches Google BigQuery
- Nothing. Data Alias never contacts it.
- What stays in your browser
- The original file and the alias mapping.
- Permission you grant
- None. There is no account link.
Limits worth knowing
- Detection is pattern-based and suggests rather than decides. Review the columns and free text before you rely on the safe copy.
- Files are limited by your plan's size and row limits — see pricing.
Why isn't there a direct Google BigQuery connection?
A BigQuery connection would need database credentials and a path for your rows that runs through something other than your own browser. A file export keeps your original data out of our servers entirely.
Is anything sent to Google BigQuery?
No. Data Alias has no connection to Google BigQuery and makes no request to it.
Will the same value get the same alias everywhere?
Within one file, yes — the same email becomes the same alias in every row, so joins and counts still work. To keep aliases identical across several files, use an alias vault.
Data Alias reduces exposure risk but cannot guarantee detection of every sensitive value. Every transfer passes the same review as a download — check the result before you send it. How connected services are handled.