DVC Data Version Control Architecture Overview |

[@AshutoshTripathi_AI]

DVC version control live demo with gs bucket: kzbin.info/www/bejne/o6fSgI2qir-shKc

[@madhavgopakumar8597]

This was very helpful, thanks!

[@AshutoshTripathi_AI]

My pleasure

[@ranjithkumarkarthic8696]

Thank you so much 💓@Ashutosh. I expected this DVC video.

[@AshutoshTripathi_AI]

Welcome

[@geetatripathi9335]

Dvc video is very good

[@Sandesh.Deshmukh]

Good Explanation Ashutosh Sir...Keep doing this good work.❤

[@AshutoshTripathi_AI]

Thank you Sandesh.

[@sanketsaurabh5881]

nice video, sir do we need to learn kubernetes first to learn kubeflow , i have heard kubeflow work on the basics of kubernetes ??

[@AshutoshTripathi_AI]

Kubeflow gets installed on top of kubernetes. As a data scientist to work on kubeflow, kubernetes is not mandatory if it is already installed and you have devops in your team who can manage the installation part. But it will simply addon and time to time you might get benefits if u know kubernetes

[@MeaningFromData]

Do you need to use "dvc add" if you are using a dvc.yaml file and dvc.lock file to specify a pipeline?

[@AshutoshTripathi_AI]

Need of Data Versioning in Machine Learning (Understanding Reproducibility): kzbin.info/www/bejne/hpnNq6SjjMyDZ6c

[@kunaldere-g8l]

Nice video. Sir, Which cloud platform we will use for DVC?

[@AshutoshTripathi_AI]

Amazon S3 and s3 compatible like minio Azure, GCP, gdrive, aliyun oss

[@kunaldere-g8l]

@@AshutoshTripathi_AI thank you sir