Thank you all for your warm feedback ❤ Here is another video to create a more advanced pipeline with AWS and Snowflake: kzread.info/dash/bejne/qYhqmcpyoafSYdI.html Enjoy ❤

amazing explanation of the first DAG creation in airflow! Thanks a lot

love it, great video to start getting hands on airflow! please keep making more videos like these using different and more complex scenarios.

Amazing explanation. Fast and clear. Thank you a lot.

That was both informative and enjoyable. Thank you Marc!

Merci beaucoup Marc, bon courage. Thank you sir, i really enjoyed learning while watching your video. Its the first time I discover your channel, definitely I'll be sharing it with my colleagues

Clear explanation for the beginners. Thank you!

That explanation is really good. Kudos!

Thanks Marc. Very well explained.

Wonderful explanation. Thank you very much for the video!

Simple, Practical, Useful

Very comprehensible. Thank you!

really good content, thanks Marc!

This was incredible.. Thank you Mark

Thank you. All simply and helpful

Great teaching skill. Thank you for the tut

You are a killer instructor! Following your tutorials feels like drinking French vanilla. Thumbs up!

Very useful ! Thank you for the sharing!

Really helpful! Thanks from Québec!

Excellent your way of teaching is - Thank you

Awesome, man. Many thanks!

Very useful tips! Thanks a lot!

The best explanation, kudos to you

Thank you for the wonderful explanation

I can't express how grateful I am to you for sharing this content here with us on youtube. Thank you and keep doing this excellent job.

@MarcLamberti

3 жыл бұрын

Glad you enjoy it! :)

u are amazing man. so clear !

brilliant and simple!

Thank you for sharing! I learned something new today! I appreciate your time!

@MarcLamberti

Жыл бұрын

Happy to help

Thank you! I started to understand...

Very clear. Thank you

very well explained.. thanks

Thank you so much for this vdo.. Really helpful

awesome explanation!

Superb Narration about Airflow, with one video and simple example you cleared all my basic doubts. Thanks a lot.

@MarcLamberti

3 жыл бұрын

Glad it was helpful!

Thank you for the great content

this is very clear and insightful for me as a beginner, thank you! Can't wait to try it on my own

@MarcLamberti

4 ай бұрын

Thank you 🙏

Marc you are incredibly good at explaining. Perfect balance between details and conciseness! Finished this exercise succesfully at the first try! One thing I still do not understand is how can I have a task launch some external python programs that are managed in their own virtual environments by Poetry? Thanks

Awesome explaination!!

Amazing work

AMAZING EXPLANATION! !!!

Simple, To-point and well explained. 🔥🔥

@MarcLamberti

5 ай бұрын

Thank you 🙏

Great explanation! I still wonder how the PythonOperator would be able to make an instance of a python class and call a specific method of that class. Most of the videos I have found only seem to showcase the use of functions for the python_callable param. 🤔

best tutorial on airflow DAG ✌

Great video! So helpful! Do a video on ETL airflow but loading into postgres or with sql operators

@MarcLamberti

3 жыл бұрын

The PostgresOperator is the way 😁

You are the best teacher I have ever seen before.

@MarcLamberti

4 ай бұрын

Thank you 🙏

Really great content!

Thanks brother!

Great Tutorial

Great video! TY!

thanks a lot! it really help me get going with dags

@MarcLamberti

Жыл бұрын

Happy to help

This is great, thank you!

@MarcLamberti

8 ай бұрын

happy to help! :)

감사합니다!

Very good tutorial

Wow thanks man, that was a really good video. I learned a lot more than airflow.

@MarcLamberti

Жыл бұрын

Happy to help 🫶

Hello, I am new at apache airflow. Your videos of airflow are awesome and helped me to understand it. I have a request to you, I don't know is it possible to use airflow for php application Cron task. If yes, then it would be a great help for us if you make a video on it step by step like other videos.

Awesome channel!!!

Brilliant!

Thanks that was amazing explanation

@MarcLamberti

6 ай бұрын

You’re welcome ❤️

very good tutorial

Thanks!

Wonderful 👏 👏 👏

great content

It will be great if you include in the tutorial how to open a file, save it and run it using airflow.

thank you

Nice instructor

Awesome explanation

@MarcLamberti

2 жыл бұрын

Glad you liked it

Great video!

@MarcLamberti

3 жыл бұрын

Thank you Raul 😁

Really helpful session :)

@MarcLamberti

Жыл бұрын

🫶

Hey! Thanks for great videos. I am facing trouble while running a java jar file from airflow. Getting java command not found error message. P.s- tried with adding path in $PATH. Can not use docker.

How can I integrate those Deep learning model into spark or airflow, can you make a video about this like how we can integrate our ML or DL model into Airflow or spark for job scheduling

Hello, thanks for the content, but some probleme, when i run the dag , hava a error ERROR - name 'best_accuracy' is not defined

Hi @marclamberti I want ask as a Data Engineer, I want to regularly clean up airflow log file that more than 2 months old. Is it possible?

awesum understandable

i have a question! How i can see result of pipeline. For example i have a function print('hello world') and i want to see it in screen

How can we put best_accuracy on output?

How to implement the condition where accurate should run only when training model A,B,C all 3 are successful executed?

I'm new with airflow..... currently I have a server with jupyterhub+jupyterlab...I've installed airflow at the same server and I wanted to create this DAG from jupyterlab... but I don't have visibility of airflow modules within jupyter environmente despite of they are installed at the same server... How can i proceed?... and leads me to this question, where should I build one dag? what's your suggestion?

How you are able to get suggestions in your VSC without installing the Airflow dependencies?

mannnnnnnnn you saved me today!!

@MarcLamberti

Жыл бұрын

Well, that’s great news 🫶

Marc, I stuck with an issue. I am trying to create multiple dagRun with same execution time, but getting exception. To overcome this, i tried to create it with microsecond precision, but still dagRuns are using "seconds" and truncating the microseconds. I also tried "replace_microseconds"=false, but no success. Please help or if you know any doc, please share.

I am running airflow on port 8002. How to get my_dag in the panel?

how do i import a json config file that stores variables in another python script with airflow

How did you submit your script to Airflow? Only then you'll be able to view it in Web UI right?

Hi - I have passed this JSON {"Name" : "Jhonny"} in configuration JSON box before triggering manually. I want to print last two letters of the value which passed to the Name i.e. in this example "ny"..How do I print this in Airflow DAG..I am unable to print it

I am running cmd airflow scheduler

I have written code into Jupyter notebook it successfully executed over here ...

Thank you for the great video! Is the midnight of the datetime that it starts to run the UTC time or the local time?

@MarcLamberti

2 жыл бұрын

Utc

I have airflow up and running. but it is unable to import airflow library. Any help

How to call all snowflake stored procedures with one Task in another Python file , when corresponding Operators in declared in Main DAG File

I think someone already asked. Do you also need to install apache-airflow locally with pip in order to get code completion? Thanks for the great content!

@MarcLamberti

Жыл бұрын

Yes

I didn't find the link in description

Excellent tutorial! Just one question: is there any particular reason to use functions with an underscore, like "_training_model" instead of just "training_model"?

@divyanethikopula4171

2 жыл бұрын

"_" is usually used to indicate that this function belongs to same file.

@sagarkharab

2 жыл бұрын

It's an indication that this is an private function or for internal use only.

Hello sir ,I have created dags successfully but it is not visible at airflow web interface what should we have to do ?

how do you run locally the airflow UI? when I use airflow standalone command it tells me: 'airflow airflow Invalid login. Please try again.'

Sorry, I did not find any video in description that explain how to install Airflow to my PC. Can you help me, please ?

Hi Marc, Awesome lecture. Though I have a small doubt. Lets say I am currently working on Azure cloud. I am using databricks jobs for my ETL. Then why should I learn airflow if I can schedule my job dependencies using Azure data factory? What are the advantages over other data integration tool? I am confused about this one thing.

@namanmehta4658

Жыл бұрын

It's not only about ADF or airflow, there are hundereds of scheduling/orchestration tools out there. You need to see which one works for you. Your question can be rephrased as we already have IBM cloud and AWS, why do we need Azure. The simple thing to understand is that every tool/service provides features, you need to cehck which one works for you. One way to go is, do some research, read few articles. What I would recommend is, read about few tools, choose 2 best tools based on features they provide, take 5 days, work on 2 POCs around your use case, weigh the pros and cons, you should have better understanding. There can be other factors depending upon the company/institute you are at, if you require good prompt support, the associated cost etc. Go for the research, try POCs and make an informed decision. Don't be afraid to make mistakes, that's how we all learn.

@namanmehta4658

Жыл бұрын

I forgot to tag the link in the above message(PS:I have no idea about ETL or ADF) www.elixirdata.com/blog/azure-data-factory-vs-apache-airflow#:~:text=Azure%20Data%20Factory%3A%20It%20supports,directed%20acyclic%20graphs%20of%20tasks.

In Function, _choose_best_model return "accurate" . How does the python/airflow know that "accurate" is not a string but a task_id for BashOperator ?

@BigJoenads

2 жыл бұрын

It won't be python that "knows", it will be what airflow is doing behind the scenes. Since he's specified it as a python_callable, I imagine airflow will call the function and respond to it's return appropriately.

Marc, I reproduced the example you demonstrated, but I notice strange behavior: when the function fetches results from the training runs, the results are the same each time I run the DAG, so the same branch is always taken. It seems like the training function result gets cached and re-used. Any idea why?

@kirby900

3 жыл бұрын

Update: I added a call to random.seed() in the _training_model function, and it resolved the problem.

mssqloperator and mssqlhook airflow example pls

I can see the dag in the airflow UI but it never runs for me.