Appreciate the effort. would definitely try this project personally. But can you come up with full data engg architecture that companies actually use. For example companies like uber,lyft,doordash etc. I would like to see how they design their data architecture to process huge volume of data 24*7. right from types of data collected to visualisation. Also pls try to include industry standard tools like airflow even though there are many simpler alternatives to airflow like mage ai. Cause many of the interviewees seek for these regardless of any better tools u know. Hope u found this review useful. Big fan ❤
There are a lot of videos on this channel, not all are best suited for beginners. You might need to have some background at DE or programming to be able to follow along
will i be able to make your projects on windows too? i dont have a mac and ive noticed that the CMD and terminal commands in mac are quite different from windows and i think i might not be able to find that specific cmd command for windows terminal what should i do?
Quix is absolutely suitable for production applications. In fact, it’s already being used by Formula 1 racing teams and major energy companies, where real-time insights from high-volume telemetry data are critical to their operations.
@@yash-ri2lgWhile they share some similarities, they’re fundamentally different. Quix isn’t necessarily a direct drop-in replacement for Spark Structured Streaming, but it can definitely serve as a strong alternative depending on your use case
Please don't forget to like and subscribe! ❤
Appreciate the effort. would definitely try this project personally. But can you come up with full data engg architecture that companies actually use. For example companies like uber,lyft,doordash etc. I would like to see how they design their data architecture to process huge volume of data 24*7. right from types of data collected to visualisation. Also pls try to include industry standard tools like airflow even though there are many simpler alternatives to airflow like mage ai. Cause many of the interviewees seek for these regardless of any better tools u know. Hope u found this review useful. Big fan ❤
Thanks for the feedback! ❤
If I am a beginner, Can I study on your platform or I need pre requisites ?
There are a lot of videos on this channel, not all are best suited for beginners. You might need to have some background at DE or programming to be able to follow along
u could upload the dataset too ))) please do it!
Bro this are real time projects that data engineer do
Definitely! Don’t forget to like and share!
will i be able to make your projects on windows too? i dont have a mac and ive noticed that the CMD and terminal commands in mac are quite different from windows and i think i might not be able to find that specific cmd command for windows terminal what should i do?
Yeah. I’ll recommend you download git bash on windows. It’ll be easier than using the default CMD
why use quix and not strucutured streaming, I have read the document that quix is python based but does quix qualify for industry grade projects?
Quix is absolutely suitable for production applications. In fact, it’s already being used by Formula 1 racing teams and major energy companies, where real-time insights from high-volume telemetry data are critical to their operations.
@@CodeWithYu but what's the difference between using quix and structured streaming?
@@yash-ri2lgWhile they share some similarities, they’re fundamentally different. Quix isn’t necessarily a direct drop-in replacement for Spark Structured Streaming, but it can definitely serve as a strong alternative depending on your use case
where is github code? is it free?
It’s available on GitHub. Link in the description.
There is a link to the repo in the description