The DataOps Initiative is a forum and gathering place for experts across DevOps, Data Engineering, and Machine Learning (ML) fields to exchange ideas around DataOps. We meet twice a month to collaborate in creating DataOps resources and best practices.
What is DataOps?
An applied framework for managing data debt through a mix of customized Ops practices, including integrations, abstraction, and automation in data layers.
GitHub Repo
Why should I join?
Join our initiative to gain functional knowledge about DataOps, learn about real-world use cases, discover the best tools, and share your knowledge and experience with others.
Join the Initiative
Contributors
Danyal “Sage” Khan
Independent
Muktesh Mishra
Adobe
Kierra Dotson
IBM
Roxanne Joncas
CD Foundation
Jesse Saffran
Independent
Victor Lu
Independent
Lisa Cao
Datastrato
Vivek Mangipudi
Shipt
Fortnightly Meetings
We meet every two weeks on Wednesdays. View the schedule on the community calendar. To get an invitation, simply fill out this form.
Our Goal
Our goal is to put together technical material and guides for users interested in the end-to-end process of deploying ML applications and models within their organizations.
By developing an inclusive set of DataOps and DevOps best practices for engineers, we can empower developers, architects, and decision-makers to effectively leverage open source tools and frameworks for streamlined, secure, and scalable ML application deployment.
We are working to develop the following:
- Community Workshops
- Ecosystem Landscape
- Evaluation Frameworks
- LF Certification & Training Course
- Reference Architectures
- Technical Learning Materials
Events & Recordings
Here are past and upcoming events related to DataOps or this initiative.
Workshop: Fundamentals of DataOps
This session discusses strategies and a complete beginner’s roadmap for groups trying to implement their own DataOps infrastructures from scratch by empowering developers, architects, and decision-makers to effectively leverage open-source tools and frameworks for streamlined, secure, and scalable ML application deployments. Watch here
Techstrong.TV: Modern DataOps
Panel discusses their experiences around what modern DataOps has become, perspectives on evolving technologies, as well as future trends and pitfalls. DataOps is the intersection of DevOps and Data Engineering, which includes MLOps and AIOps. The discussion covers concerns such as pipeline orchestration, containerization, observability, as well as how the tooling should evolve in the space. Watch here
Free Linux Foundation Training Courses
Contact Us
If you have any issues with the form or any other questions, email us. info@cd.foundation
Connect with us
Subscribe to mailing list | Join #DataOps Slack Channel | View repo
