Hello, I am creating a course that will launch through the Linux Foundation on DataOps.
DataOps is one of those new "categories" that continues to evolve.
But if you work with Kafka, Spark, Presto, or Airflow (or any of a number of different open source technologies that are similar to those), then you're in the "data ops" field.
If you are interested in learning more about the field (meaning, you want to work as an engineer solving problems around data, data processing, analytics, data pipelines), this course is for you, and I'd love to share a preview of the outline (with some sample content).
If you are already an experienced data engineer working in the space, then I would love some of your thoughts to help me to enable even more developers in this discipline by improving the course.
As you can imagine, there are tons of paid courses out there which are already pretty beefy. This course is going to be made available for free and delivered through EdX.
As such, it is also likely to feel a little "light" compared to full-on courses taught at schools or even in online courses with tuition.
After all, it's just been me in my spare time writing the course.
Nevertheless, I think there's an opportunity for something solid out there that is free to provide an on-ramp.
So...I've created the document in Google Docs, and am enabling anyone on the Internet to add a comment.
It is designed for people new to the field to understand the core concepts, provide links to key technologies and blog posts, and just be a resource to developers and, from there, learn more by interacting with the open source community.