DATA OPS
BigQuery Weekly Cost Trend Digest
Every Monday it ranks scheduled queries by week-over-week slot-hour growth, flags the steepest climbers as regression candidates.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly Monday schedule
- ActionAggregate this week vs last week slot-hoursBigQuery
- LogicRank by growth, tag steepest climbers
- ActionLLM writes top-movers narrativeOpenAI
- OutputPublish ranked digest to NotionNotion
What it does
Produces a weekly leaderboard of which BigQuery scheduled queries are getting more expensive over time, attributing the warehouse's cost growth to specific queries trending upward rather than one-day spikes.
When to use it
When you want a recurring review artifact for cost retros — a single page showing the top cost-growers each week so the team can decide what to optimize next, even when no single day triggered an alert.
How it works
- 1A scheduled trigger fires every Monday morning.
- 2A BigQuery query aggregates slot-hours per scheduled query for the last week and the prior week.
- 3A logic step ranks queries by week-over-week growth and tags the steepest climbers as regression candidates.
- 4An OpenAI step writes a short narrative summary of the top movers and likely causes.
- 5A Notion action publishes a ranked table plus the narrative to the team's cost-tracking page.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Data Ops workflows
BigQuery Per-Team Budget Breach Alert to PagerDuty
Tracks month-to-date BigQuery scheduled-query spend per team and, when a team crosses its monthly budget, pages the team's on-call in PagerDuty and snapshots the spend breakdown…
dbt orphan model detector with Linear cleanup tickets
Scans your dbt manifest for models that no other model, exposure, or BI tool consumes.
Weekly BigQuery Cost Trend Sheet and Exec Digest
Compiles week-over-week BigQuery scheduled-query cost by owner and dataset into a Google Sheet with trend columns.
Backfill Missing Owner Labels on BigQuery Scheduled Queries
Finds scheduled queries with no owner label, infers the likely owner from creator metadata and target-table lineage, proposes a label.
Daily BigQuery Scheduled-Query Cost Attribution to Owners
Each morning, totals the prior day's on-demand bytes-billed per scheduled query, maps each query to its owner from a label, and posts a per-owner cost leaderboard to Slack.
dbt source freshness watcher with severity-routed alerts
Checks Snowflake loaded-at timestamps against each dbt source's freshness SLA, then routes warnings to Slack and hard breaches to a PagerDuty incident so stale data never…
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.