Set up connection from Azure Data Factory to Databricks

Set up connection from Azure Data Factory to Databricks

Both, Azure Data Factory and Azure Databricks offer transformations at scale when it comes to ELT processing. On top of that, ADF allows you to orchestrate the whole solution in an easy way. In a case, when you prefer to use Scala, Python or SQL code in your process, rather than Mapping Data Flow in ADF – you must link ADF to Databricks. I will show you how to do that in two ways.

In this short video, I will present two methods and their differences, and as always the demo:
DEMO 1: Connect via PAT (Personal Access Token)
DEMO 2: Connect via MSI (Managed Identity Authentication)

 

 

Previous Two methods of deployment Azure Data Factory
Next Canvas Apps Components

About author

Kamil Nowinski
Kamil Nowinski 194 posts

Blogger, speaker. Data Platform MVP, MCSE. Senior Data Engineer & data geek. Member of Data Community Poland, co-organizer of SQLDay, Happy husband & father.

View all posts by this author →

You might also like

DevOps 39 Comments

Deployment of Azure Data Factory with Azure DevOps

In this blog post, I will answer the question I’ve been asked many times during my speeches about Azure Data Factory Mapping Data Flow, although the method described here can

Azure Data Factory 2 Comments

Publish ADF from code to service easily

Struggling with #ADF deployment? adf_publish branch doesn’t suit your purposes? Don’t have skills with PowerShell? I have good news for you. There is a new tool in the market. It’s a task for Azure

ASF 019 video invitation

Check how many bicycles he has got at home and where was the destination of last year of a 400 km trip? Which tool among Azure is the closest to

0 Comments

No Comments Yet!

You can be first to comment this post!

Leave a Reply