---
title: "Data Ops recipes"
description: "TL;DR: Data Ops recipes automate analytics workflows — scheduled reports and business readouts, and data sync/ETL between systems and your warehouse. They connect sources like BigQuery, HTTP APIs, and warehouses (Snowflake, BigQuery) with Slack and email on a schedule."
canonical_url: "https://docs.ballet.dev/articles/data-ops-recipes-10cPQTH5Sa"
md_url: "https://docs.ballet.dev/articles/data-ops-recipes-10cPQTH5Sa.md"
---
# Data Ops recipes

**TL;DR:** Data Ops recipes automate analytics workflows — scheduled reports and business readouts, and data sync/ETL between systems and your warehouse. They connect sources like BigQuery, HTTP APIs, and warehouses (Snowflake, BigQuery) with Slack and email on a schedule.

## Who this is for

Data and analytics teams who want recurring readouts and reliable pipelines without manual runs.

## Recipes in this department

- [Scheduled reports and readouts](/articles/recipe-scheduled-reports-and-readouts-rqFtYUEyJN) — query, summarize, and deliver reports on a schedule.
- [Data sync and ETL to a warehouse](/articles/recipe-data-sync-and-etl-to-a-warehouse-XBdNlNuOsn) — pull, transform, and load data on a schedule.

## Related articles

- [How do I manage Schedules?](/articles/how-do-i-manage-schedules-NTU9cNrk8w)
- [How do I edit steps (Code and HTTP)?](/articles/how-do-i-edit-steps-code-and-http-47pGJ6HgKr)
- [What triggers can start a playbook?](/articles/what-triggers-can-start-a-playbook-manual-schedule-webhook-P4mdwPZDGg)