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It was wonderful and fluent expression. Thank you. I am a bit confused. All the explanations can be done using standard SQL. What is the benefit of Dataform. Thanks in advance.

Thanks for this wonderful insights

Hello, are you still active and availble for questions? I would like to ask you if it's possible to have a function that run and close a VM within google cloud itself? Thanks

Thank you for the interesting explanation. Would it be possible to share the slide deck? That would be great

excellent tutorial! Do you have a video on pipeline with vertex AI?

Hi I love your videos so far! Can you make a video on vertex pipelines with cloud scheduling for model training and deployment to an application? Looking forward for your reply!

Great video, very clear. Thank you

Hi, as I can see, there are no branches in Github linked under the vide? Is it because there will be some code updates and upgrades coming? Very well presentation, and I should say that before watching the turorial I had few places that gave me hard stops.. Now everything seems clearer. Thank you! Kind regards.

Thank you! Great video

this is very helpful, thank you

This video was very helpful for me! Thank you 👍

I have a question, what about if I had a script with selenium (web scraping) library? There would be a problem right, because as far I can understand it needs a driver installed in your machine to work 😪

Thanks a lot for sharing your knowledge!! Greetings from Mexico

Hi ... I wanted to take a moment to express my appreciation for your videos. They have been incredibly helpful as I learn about GCP, and your clear explanations make complex topics much more accessible. One question here, here every thing we are doing it manually using GUI and alternatively can we do the same process using Python SDK right from building package and pushing the package to Cloud Bucket and then training setup, Model Registry, Deployment and end point creation? If yes, when you get a time can you please post a video on this?

I want to create a text data set, but all of my text is in pdf form. How would I go about doing that?

what is the zip file ? i didnt understant what is it about..

Thanks for sharing this brief and informative tutorial! Really helpful👍

Thanks, very informative video. You create a git repository with public mode, where you able to connect the private git rep too?

Hello, thanks for your helpful videos! Question: I want to perform batch prediction for a foundation prebuilt model (llama3). I have downloaded Llama 3 chat-8b model into VertexAI Model registry. When I try to start a batch prediction job, I get the following issue: InternalServerError: 500 Unknown ModelSource source_type: MODEL_GARDEN model_garden_source { public_model_name: "publishers/meta/models/llama3" } for model projects/591244989428/locations/us-east1/models/llama3_chat_8b@1 Any idea on wha the issue is about? I didn't find any helpful resources on this. Appreciate any help!

Is it possible to use javascript parametrizable variables on your sqlx files for the queries?

How to use bigquery tables to read, make some transformations and write to other tables, with dataform?

Great video :)

Thank you so much!! I have a question though, it was said that to link a third-party remote repository to a Dataform repository, you need to first authenticate it. Any thoughts on this?

Lol it’s not working. Can’t deploy. What can be the problem? I did exactly what you did, except can’t create the same bucket so named the bucket as c4ds1. Also changed the code for that.

Please answer to my question, I need to do the same thing as you did in this video. My python script works just fine under Google cloud shell. However, I am still having trouble making it work as cloud function. The purpose is to schedule the execution of the function. It consist of extracting a data from a web site and save in google sheet. I was able to make run it under google cloud shell. Any clue from you ?

Can we do this using google compute like GPU? how can we do that?

Thanks for this video! I have no knowledge of AI/ML. I just want to use vertex ai for my mobile application purposes. Now I have a dataset in the Kaggle. I have downloaded the dataset and all are the images. Now I want to use that to create an model and use API into my mobile app. How to do it in the GUI of vertex AI? I mean there are only images. As there isn't any CSV or JSON file, it's very time-consuming to upload 100 of images and label every one because I will be using Image Object detection. Is there any direct way to get the CSV or JSON from kaggle. or Can I get a trained model direclty. what's the exact flow to do get what I want?

Great job! I followed your instructions, and everything started working smoothly for me. Your tutorial is fantastic - keep up the excellent work! You have the potential to reach 1 million subscribers. Keep pushing forward !!!

Thank you ! very clear your explanations !

hey what about model deployment? can u make video on it?

Where can I get the stroke data

Thank you so much for such a wonderful tutorial. Perfectly designed and structured. And also thank you so much to help me to meet such a powerful platform.

Hi! First of all, great video! Really simple and intuitive. It worked for me when I called only one function inside the hello_pubsub, but when I tried to call several others, from others .py, looked like the function run perfectly but with no results. Is there a way to make the cloud functions wait before every function finishes before moving to the next one? Thanks

I am so excited about the whole explanations

This is great

It’s very important to listen to this lecture and following same to be able to make online business accounts realized

This is awesomely exciting news about your business account

Depository platform is a very wide program to use in creating your own Database platform

I am so excited about your examples like Java print depository and all others you’ve mentioned

Thanks again and again for sharing this Database Depository code

I appreciate your interest in sharing this wonderful business opportunities online with your friends and family members who love sharing their business opportunities online with their businesses

Thanks so much for your concern about this wonderful program on Database form for businesses online

How to make batch prediction with a custom container? It would be nice to have a tutorial that uses a custom container to run a run and save it in model registry and then run a batch prediction

This video saved me. I was almost losing my patience while looking for these codes in the GCP platform, and I couldn't find them. Instead of using Jupyter Notebook, I am implementing them as a cloud function to automate the process of training every three months. THANK YOU.

thanks for the demo. what if I have two versions of the model, and I want to use the second one instead of the first one ?

Great video!!!!!!, Could you please let me know, how to use this managed datasets in the Kubeflow component which will be further used to execute the vertex Ai Pipeline.

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Love you man

for me project was not equal to project name but id. seems to be the solution to a 403 for people on Stackoverflow

Is it possible to read a file directly from Google Cloud Storage using dataform?