Warehouse query to Excel report
Query your warehouse on a schedule, check the result, and drop an Excel file on a shared drive every morning. Uses a connection you set up in Settings.
What it teaches
- Connections
- SQL task
- Quality check
- Export with timestamp
Try it
- In Datronome, open Learn and choose Examples.
- Install Warehouse query to Excel report.
- Press Run now and open the Results tab.
Learn more
- 2. Replace a manual report in the Analytics guide
- 1. Connections, secrets and the run folder in the Data engineering guide
The steps
- Pull yesterday's signups SQL
- Sanity check Quality check
rows >= 1 not_null: region, signups range: activation_rate 0 1 - Save report Move a file
Saves
Pull_yesterday_s_signups.csvto Files, date-stamped.
Watch it
More data engineering examples
- Morning data guardrail: Check the overnight payments extract every morning and get the numbers by email: row count against the usual, which regions or plans moved, blanks that appeared — even when every rule passes.
- Fix it before you schedule it: A pipeline whose SQL has a mistake in it. Use Try it on the query step to see the error, fix it, try again, and only then run the whole pipeline. Nothing is scheduled until you say so.
- Turn a billing inbox into a table: Works offline: sample messages in exactly the shape the Read-a-mailbox task produces. Filter the payment processor's daily payout reports, count what arrived, and check none are missing. Swap the first step for a real mailbox connection when you are ready.
- Daily data quality gate: Load a product usage extract, profile it, and stop the pipeline when the data is wrong — blanks, duplicates, out-of-range values, and a total that drifts from history.
- See what a pipeline costs: A deliberately heavier calculation so Usage & cost has something to show: machine time, peak memory and rows produced for each step. Run it a few times, then open Settings → Usage & cost.
Run it on your own computer
Every example installs with its sample data in one click. Already have Datronome? Open Learn, then Examples.