Sync data from GitHub to Snowflake

CloudQuery is a simple, fast and extensible data movement platform that allows you to sync data from any source to any destination.

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Why CloudQuery?

We took care of everything, so you can do your job easily and efficiently.

Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from GitHub to Snowflake can be completed in a fraction of the time compared to other tools.

Easy to get started, easy to maintain

GitHub syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

How to sync GitHub data to Snowflake

CloudQuery is the simple, fast data integration platform that can fetch your data from GitHub APIs and load it into Snowflake.

GitHub

GitHub

Source

Documentation
Snowflake

Snowflake

Destination

Documentation

Step 1: Install CloudQuery

Follow the steps below to start syncing data with CloudQuery.

Your operating system
Installation method

Copy&paste the following command to download

brew install cloudquery/tap/cloudquery

Sign in with CloudQuery

To sign in from the CLI, run the following command.

cloudquery login

A new browser window will open where you will complete the sign-in process.

Auto-generate sync configuration

Run the following command to create a configuration file:

cloudquery init --source github --destination snowflake --spec-path github_to_snowflake.yaml

Step 2: Additional source and destination configuration (optional)

GitHub source plugin configuration

You can find more information about the configuration in the plugin documentation.

# github.yml kind: source spec: name: github path: cloudquery/github spec: # per documentation at:

PSnowflake plugin configuration

You can find more information about the configuration in the plugin documentation.

# snowflake.yml kind: destination spec: name: snowflake path: cloudquery/snowflake spec: # per documentation at:

Step 3: Run the sync

Step 1. Copy and paste the command to trigger the sync

cloudquery sync github_to_snowflake.yaml

Frequently asked questions about plugins

Detailed answers are here to help you get started.

Snowflake FAQ

Should I load information directly to Snowflake from GitHub or load via remote storage?

For testing purposes, loading directly into Snowflake is the fastest way to get started and check you are achieving the desired results. However, we don’t recommend choosing this approach for a particularly large dataset or once you move to a production environment. At this stage, it is recommended to sync the data from your source to a CSV or JSON file in a remote storage environment such as S3 or Google Cloud Storage and then running a Snowflake cron job or using SnowPipe to load that information into a Snowflake stage.

You can choose between basic authentication using a username and password or use a private and public key pair to authenticate with Snowflake. If you choose to use a private key, you can either place this inline in the specification or reference a separate file where the private key is stored.

GitHub FAQ

What authentication methods does the CloudQuery GitHub integration support?

The CloudQuery GitHub integration supports two authentication methods and the best option for your sync to Snowflake will depend on your personal preferences and your organizational security policy.

The main difference your choice of authentication method will make to your sync from GitHub to Snowflake is the rate at which CloudQuery can read and sync data. Personal access tokens have a lower rate limit than app authentication - so if you need to move a particularly large amount of data quickly, we would recommend using app authentication.

A full list of supported tables is available in the tables tab on our integration information page.

Archived repos will only be synced if a specific request is made. To include archived repos in the sync, include_archived_repos must be set to true.
Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from GitHub to Snowflake can be completed in a fraction of the time compared to other tools.

Easy to use, easy to maintain

GitHub syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

A huge library of supported destinations

Snowflake isn’t the only place we can sync your GitHub data to. Whatever you need to do with your GitHub data, CloudQuery can make it happen. We support a huge range of destinations, customizable transformations for ETL, and we regularly release new plugins.

Extensible and Open Source SDK

Write your own connectors in any language by utilizing the CloudQuery open source SDK powered by Apache Arrow. Get out-of-the-box scheduling, rate-limiting, transformation, documentation and much more.

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Find out how CloudQuery can help you get clarity from a chaotic cloud environment with a personalized conversation and demo.

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