Brooooooo!! I was so confused before I found this video!!! Thanks!!! Your in-depth instructions allowed me to walk through this step by step and get things rolling!! I’m no longer confused!!
The material has never been made easier to understand. I like how you introduce the concepts step by step and describe each process especially assessing the data so thoroughly and in an efficient way! Thank you!!
If you’re struggling with finding the inline JSON policy, please use the link below and follow the steps: docs.databricks.com/administration-guide/account-api/iam-role.html#language-Databricks%C2%A0VPC scroll down, go to step #6, choose "Databricks VPC", then copy the code! Please don’t forget to like, sub, and leave a comment :).
@GohitBhat Thanks for the kind words! You're right in that when you terminate the cluster, you'll have incurring costs from the NAT gateways that are created on your behalf when you deploy your cluster. Because it's apart of AWS infrastructure, Databricks doesn't have permissions to delete this on your behalf. One suggestion would be to create a lambda function that checks whether or not a Databricks cluster has been terminated, and if so, deletes the NAT Gateways that were created upon creation of the clusters by DB.
2 года назад
Holy cow, this is definitely the best explanation and hands-on examples out there, thanks!
Thank you for the step-by-step walk-through regarding AWS IAM, not many easy-to-follow tutorial videos exist about this topic, glad to have come across this
THANK YOU, I’ve been struggling with the concept of spark but this video helped me understand it’s applicational value. I look forward to any upcoming videos !
am fro Azure background so this is very good sample video for me understanding from starting point regarding creating resources in AWS for Databricks etc...as I am moving towards AWS, Thank you! Do you have time for technical support, if someone needed, what is your personal contact info, can I have it?
docs.databricks.com/administration-guide/account-api/iam-role.html#language-Databricks%C2%A0VPC please scroll down, go to step #6, choose "Databricks VPC", then copy the code!