Effective patterns for putting your data to work on Azure
This is Part 2 of our series on Azure DevOps with Databricks. Read Part 1 first for an introduction and walkthrough of DevOps in Azure with Databricks and Data Factory. Setting up the environment To get started, you will need a Pay-as-you-Go or Enterprise Azure subscription. A free trial subscription will not allow you to […]
Building simple deployment pipelines to synchronize Databricks notebooks across environments is easy, and such a pipeline could fit the needs of small teams working on simple projects. Yet, a more sophisticated application includes other types of resources that need to be provisioned in concert and securely connected, such as Data Factory pipeline, storage accounts and […]