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Data Ops recipes

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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 — query, summarize, and deliver reports on a schedule.
  • Data sync and ETL to a warehouse — pull, transform, and load data on a schedule.

Related articles

  • How do I manage Schedules?
  • How do I edit steps (Code and HTTP)?
  • What triggers can start a playbook?
Nested Articles

Recipe: Data sync and ETL to a warehouse

Recipe: Scheduled reports and readouts

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