The way you explain, go thru each step of the code. Just beautiful, what a public service right here. Thank you and hoping to see much more from you. Cheers!
awesome video, what I am wondering though, is how is streaming into a topic different than the previous consumer video? they both reading from a producer right? Would it be reasonable to say I would stream and transform the producer data onto the reader's topic?
You can architect your services however you wish. You can certainly combine different processes into one, then later on if you have a need to split them out you can do that too.
Can you do one tutorial with the transformation bit especially groupby transformation. I am having trouble implementing the grouby implemented in the documentation.
Yes that's correct. It could be determining a new value based on existing values in the data set or some average based on previous values that you have in state. Really any processing you can achieve using Python.
Everything in. details, thats what every tech listener expect, good going Quix
I really liked how you clearly defined the problem and how you solved.
The way you explain, go thru each step of the code. Just beautiful, what a public service right here. Thank you and hoping to see much more from you. Cheers!
Are in drugs ? This idiots hadnt say nothing 😂
Another wonderful video👏. You making things simpler with your explanation.
Those Kafka series are awesome 🙌 🎊 🎉 Congrats, keeeeeep posting!
Thank you! Will do!
Thank you very much! Watching this clarified a lot of topics for me 😊
vim, regex in searching and replacement are wonderful
hope to study more use cases from you
love ❤your video!
awesome video, what I am wondering though, is how is streaming into a topic different than the previous consumer video? they both reading from a producer right?
Would it be reasonable to say I would stream and transform the producer data onto the reader's topic?
You can architect your services however you wish.
You can certainly combine different processes into one, then later on if you have a need to split them out you can do that too.
Can you do one tutorial with the transformation bit especially groupby transformation. I am having trouble implementing the grouby implemented in the documentation.
Will do. Watch this space.
Hello, please what font is used on the thumbnail text?
From our designer: "The heading font is Cy SemiBold (with contextual alternates turned off)."
Hope that helps!
What’s the vim plugin that shows the Python syntax prompts
That's `nvim-cmp` (in Neovim).
How can we redpanda running locally?
Good question! I've just pushed a docker compose file to the github repo. If you `docker compose up` that should give you a local instance. 👍
How come it is running continuously without a loop?
QuixStreams! sdf.run listens for the termination signals and keeps the listeners open for business.
"Farenheit is not an easy thing for a European to spell" -- looks like "celsius" is not easy either. :) Love the video!
I wish I could claim that was a deliberate joke, but... 🤦♂️
imo venv is better because env is used to store environment variables
.venv is even better if you use fd/ripgrep, so that files in .venv are skipped from search.
What's the meaning of `...transform...`?
Any transformation you can do on top of the data
Yes that's correct. It could be determining a new value based on existing values in the data set or some average based on previous values that you have in state. Really any processing you can achieve using Python.