Databricks Community

I have already finished the course, how do I get the discount?

Hi @naveen0142 , 1. Create the Key Vault resource "azurerm_key_vault" "example" { name = var.key_vault_name location = azurerm_resource_group.example.location resource_group_name = azurerm_resource_group.example....

Are they accessing the Key Vault directly and not through Databricks? If so, based on your Terraform code, they should be able to directly read Secrets in the Azure Key Vault.  You've configured the Key Vault with RBAC Authorization and assigned Key ...

For question two, you can use the local_file resource in Terraform: output "openai_api_type" {value = module.openai.api_type} output "openai_api_base" {value = module.openai.api_base} output "openai_api_version" {value = module.openai.api_version} ou...

Hey, If you change the type to "allowlist" and provide "PHOTON" and "STANDARD" as options that should fix your issue.here is an example: "runtime_engine": {"type": "allowlist""value": ["PHOTON", "STANDARD"]"defaultValue": "PHOTON"}

I have the same issue.I have a large file that I cannot access from an MLFlow service.Things I have tried (none of these work):Read-only from DBFS`dbfs:/myfolder/myfile.chroma` does not work`/dbfs/myfolder/myfile.chroma` does not workRead-only from U...

I understand, however this is more on CSV file format.  Save your data in Delta format instead of CSV or text-based formats. Delta tables handle empty strings and NULL values more effectively, ensuring that empty strings are preserved during data ins...

Hi @ChristianRRL ,When creating a materialized view in Databricks, the data is stored in DBFS, cloud storage, or Unity Catalog volume. You can still create a materialized view by overwriting the same table each time, instead of using Append, Update, ...

I'm with the same doubt @ChristianRRL, did you figured out something related to it?My doubt is to check if it's possible to apply any kind of access control based on this property.