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Join us for Hacktoberfest 2023: Contribute to DataHub and Win Big!!!

Data Engineering

Metadata Management

Data Governance

Maggie Hays

Oct 13, 2023

Data Engineering

Metadata Management

Data Governance

Are you ready to dive into the world of open source and make a meaningful contribution? Hacktoberfest 2023 is here, and we're thrilled to invite you to participate by contributing to the DataHub project.

What is Hacktoberfest?

Hacktoberfest is an annual celebration of open-source software. It encourages developers, both new and experienced, to contribute to open-source projects on GitHub. By making a minimum of four valid PRs during October, participants can earn exclusive Hacktoberfest swag and digital rewards.

You can learn more about Hacktoberfest and register for the event on the official Hacktoberfest website .

How can I contribute to DataHub?

DataHub is an inclusive open-source project that encourages contributions from individuals of all skill levels and backgrounds. To help kickstart your journey, we've curated a list of high-impact and/or beginner-friendly opportunities for you to contribute.

Whether you’re looking to improve on existing integrations, build a feature from scratch, squash some bugs, or help other devs be successful via docs, we’ve got you covered!

DataHub Integrations

Want to add some polish to an existing integration? Search our Slack for channels that start with #integration- for inspiration.

Want to build something from scratch? Here are some of the most upvoted integration requests from our amazing Community; don’t forget to check out the feature request to learn about what others are looking for!

Build a DataHub Feature from scratch

Opportunities abound - explore our Official Feature Request website (https://feature-requests.datahubproject.io) to see how you can get involved. Here are some of the most upvoted ideas waiting for your input:

Knowledge is power: Write Some Docs!

Wanna help other developers be successful with DataHub? Write some docs! Seriously - this is a G R E A T way to help the DataHub Community thrive. Whether you’re improving existing documentation, writing a step-by-step guide, or heck, fixing some typos - all of it helps others be successful in their DataHub journey. Here are some ideas:

  • 10-minutes Quickstart guides on integrations (Airflow, Great Expectations, dbt, etc)
  • Guides on GraphQL Search mutation
  • Guides on Azure deployment

Keep DataHub Fresh

Help us stay up-to-date with our dependencies! Here are some options for package upgrades to target:

Requirements & Rewards

Your contributions to DataHub during October 2023 will not go unnoticed. Here's what you can expect:

  • Hacktoberfest Digital Reward Kit: All PRs merged during October in the DataHub and DataHub Helm repositories will count toward your Hacktoberfest goal and earn you the digital reward kit.
  • Go for it and Win $250 USD Amazon Gift Card + DataHub Swag: For every PR you open in either DataHub or DataHub Helm repositories in October 2023, you'll win a $250 USD Amazon Gift Card, along with official DataHub swag. We'll randomly select 3 winners during the November Town Hall!

Contribution Guidelines & Examples

Before you start contributing, please review our contribution guidelines to ensure that your contributions align with our project's standards. You can also find inspiration by exploring some of the merged contributions from the previous year:

We are here to help you through the process!

Don't worry if you're new to open source or feel unsure about the contribution process. We have a friendly and supportive community on Slack that's more than happy to assist you every step of the way. Join our Slack community and let's embark on this exciting journey together.

Your contributions to DataHub can make a real difference, and we can't wait to see what you'll bring to the table in Hacktoberfest 2023!

Questions? Feedback? Join us in DataHub Slack and tell us all about it!

Book a demo to see all the other cool stuff we’re building for Acryl DataHub!



Data Engineering

Metadata Management

Data Governance

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