Airflow explained in 3 mins

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Welcome to this quick 3-minute tutorial on the fundamentals of Airflow for Data Engineers!
Airflow is an open-source platform that helps manage, schedule, and monitor data pipelines. It provides a way to define workflows as directed acyclic graphs (DAGs) and execute them in a reliable, scalable, and maintainable way.
At its core, Airflow consists of three main components:
DAGs: A DAG is a collection of tasks with dependencies between them. Each task represents a unit of work, and the dependencies between tasks determine the order in which they should be executed.
Operators: An operator is a Python class that represents a single task in a DAG. There are many built-in operators in Airflow, such as BashOperator, PythonOperator, and SQLOperator, but you can also create your own custom operators.
Scheduler: The scheduler is responsible for triggering tasks based on their dependencies and the defined schedule. It manages the state of each task and ensures that they are executed in the correct order.
To use Airflow, you'll typically start by defining a DAG in a Python script. You'll then create tasks by instantiating operator classes and specifying their dependencies. Once you've defined your DAG, you can run it by starting the Airflow scheduler and worker processes.
Airflow provides a rich set of features that make it a popular choice for managing data pipelines, including:
- A web-based user interface for monitoring and managing DAGs
- Built-in support for task retries, logging, and alerting
- Integration with popular data storage and processing systems like Hadoop, Spark, and Kubernetes
An active community of contributors and plugins that extend its functionality.
Overall, Airflow is a powerful tool that helps Data Engineers manage complex data pipelines with ease. I hope this quick tutorial has given you a good overview of its fundamentals.
Thanks for watching!

[@user-hu4sk5bu5o]

This is very efficient communication of Airflow. Its excellent high level summary of Airflow that otherwise would be covered in 40min - 2h. Thanks Sourav!

[@souravtechie]

No problem at all. Thank you for watching

[@DavidAyvar]

best explanation I've found. Thank you!

[@souravtechie]

You're very welcome!

[@omnia_ex_nihilo]

A really good video! Short, clear and to the point! Hope you'll make more videos like that!

[@souravtechie]

Thanks a lot! If you have any Data Engineering topics you'd like me to cover, please feel free to let me know. I will try my best

[@belyaev_maks]

Thanks and keep on improving your video presentation skills. Wish you best.

[@michaelmartinez436]

Noooice! Very useful!! Thanks for sharing!!!

[@souravtechie]

Happy to help! 🙏

[@rohitchauhan1497]

You earned 1 sub. Thank you for this, keep posting videos

[@souravtechie]

Thank you for the support. Yes I will!

[@anilkinikar]

Nice and quick introduction of the Airflow. Thank you.

[@souravtechie]

You're very welcome Anil! Glad you enjoyed it.

[@fabienjoubert]

I like. It's very clear. Thanks !

[@souravtechie]

You are very welcome!

[@merhaiakshay9625]

Hey Sourav, Thanks for this video. if possible, please consider making a complete airflow tutorial including installation, Advanced setup/configuration and hands -on projects :)

[@souravtechie]

Hi @merhaiakshay9625! Thank you for the suggestion. I have an installation video on my channel. Here is the link kzbin.info/www/bejne/fZ6xYpijespngNE Sure, I can make a part 2 for it. If you have any particular recommendation for a hands-on project, please do let me know.

[@abhimanyukarkara4218]

short, sweet and crisp!

[@souravtechie]

Thanks you!

[@user-jx4gv6zf1z]

Good job, Sourav. This helped a bit.

[@souravtechie]

For sure! I'm always happy to help out

[@gpu_poor]

Loved the video!

[@souravtechie]

Thank you Anshuman!

[@scullyjolie4268]

Hello. And thanks, that was very helpful.

[@souravtechie]

You're welcome 🙏 🙏 🙏

[@nikjojo]

0:44 wtf is that img search lmao

[@user-lk2dz3mw9h]

Wow so amazing really simple and precise

[@souravtechie]

Thank you!

[@CodeVeda]

good explaination

[@souravtechie]

Thanks you!

[@raphaelprates1500]

Thank you for the nice video!

[@souravtechie]

You are very welcome. If you would like me to make a video on any other Data Engineering topic, please do let me know

[@ronakshah7241]

Hey Sourav ! You have an excellent communication skills. Keep it up bro. Soon you will rock!

[@souravtechie]

Thanks a ton Ronak! I will try my best

[@hrishikeshparanjape]

thanks bro helped a lot

[@souravtechie]

Always welcome 🙏

[@kusumaoruganti5815]

hi please consider making a complete airflow tutorial please help

[@souravtechie]

Hi @kusumaoruganti5815 yes I will make a full Airflow tutorial. I got few requests from other folks too. So, I will definitely make it sooner. And please feel free to let me know if you have any specific questions, I'm happy to help! Thank you

[@aligharaeini5971]

perfect

[@navneeth9]

Super,

[@souravtechie]

Thank you Navneeth

[@stuartfarmer9544]

Bruh this video is 4 minutes

[@mjp96]

But only 3 min is pure Airflow

[@Guruk18]

narendra modi you had searched

[@souravtechie]

You got it! Haha

[@bennylerner4462]

turn down that music bro

[@souravtechie]

Thanks for the feedback! I will go back in time and fix it in a bit