DatronomeProduct tour
Short narrated recordings of the real product running each example, with captions. Most are about a minute long. Every one is also inside Datronome, under Learn.
Every video
Your first pipeline
Three steps, each a different kind: bring a file in, calculate something in Python, and check the answer. The smallest pipeline that shows how steps pass files to each other.
1:11 · Analytics
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.
1:07 · Data engineering
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.
1:08 · Data engineering
Renewal review
Find accounts up for renewal that use too few of their seats, check the data, and route right-sized renewal offers to an account manager for approval — with a dollar value and an outcome check.
1:39 · Analytics
Ask the assistant to fix it
A small scoring pipeline with a bug in the Python step. Run it, open the failed run, and press 'Ask the assistant why this failed' — it reads the log and proposes a fix you apply with a button.
1:04 · Analytics
A decision that checks itself
Approve tomorrow's support staffing plan with its dollar value, then let Datronome check two days later whether SLA breaches stayed under 5%. Installs two pipelines already wired together: the plan and the outcome check.
1:28 · Decisions
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.
1:04 · Data engineering
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.
1:01 · Data engineering
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.
1:18 · Data engineering
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.
1:09 · Data engineering
Predict churn risk
Train a model on past accounts to predict which of this month's accounts are likely to churn, score them, and flag the risky ones for customer success.
1:27 · Data science
Allocate a limited budget
Decide how many signups to buy from each marketing campaign to maximize expected value under a total budget, per-region caps, and per-campaign minimums — then get the plan approved.
1:23 · Data science
Every example in these videos ships with Datronome, sample data included. See the examples.