GitHub integration

GitHub data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.issues
type: ingestr
parameters:
  source_connection: github
  source_table: 'issues'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/github.asset.yml

  1. extract · GitHub issuesincremental
  2. load · snowflake raw.issuesmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

Git-based version control and collaboration platform providing repository management, issue tracking, and development workflow automation.

  1. 01

    Add a GitHub connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

access_token
GitHub personal access token
repository
Repository in owner/repo format

Tables

6 tables, ready to load.

  • issues
  • pull_requests
  • commits
  • releases
  • contributors
  • repositories

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about GitHub.

Does Bruin have a built-in GitHub integration?

Yes. Built-in ingestr source.

Which GitHub tables can Bruin load?

issues, pull_requests, commits, releases, contributors, repositories.

Where can GitHub data go?

Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.

How fresh is the data?

As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.

Do we need Bruin Cloud?

No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.

Ready to connect GitHub?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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