BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Load checked team entries into report tables and show import counts.
Your reporting table gets valid new spreadsheet rows every 15 minutes, with import counts and row-specific fixes waiting in the sheet.
Turn teammates' report questions into pivot SQL they can review.
Get a pivot SQL query back in the chat thread, with totals explained and columns matched to your database schema.
Draft ranking queries for shared reports and explain ties.
Get a ranking SQL query in your chat thread, ready for review. See how the measure and ties determine each position.
Draft SQL for reporting requests and clarify what each count includes.
Get a SQL count query in the chat thread, with a clear note on what it counts and which conditions it uses.
Draft report queries with the requested date filter.
Get a SQL query for a date or date range in your report chat, with the time field and boundaries explained in the same thread.
Draft SQL for questions behind shared reports.
Get a SQL query and a clear explanation in the same chat thread as your question, with results when you allow them.
Deliver checked source extracts for recurring reports.
Get a dated CSV and row count in your shared folder every month, or an error note explaining why the export stopped.
Load reporting files into a table and surface import errors.
Keep your PostgreSQL table current as CSV files arrive, with a row count or a clear reason when an import needs attention.
Import checked site activity into a queryable table.
Get fresh website activity in your analysis table, with an import tally and a report of rows that need fixing.