Workspace
Workspace
With the Databricks workspace browser you can create, browse, and organize Databricks objects, including notebooks, libraries, experiments, queries, dashboards, and alerts, in a single place.
You can create private folders or shared folders. When organizing work under shared, all users in Veracity Data Workbench workspace can see the folder. A private folder can be shared with individual users.
Developing in the workspace is a great way to quickly get familiar with Databricks APIs. Databricks supports Python, SQL, Scala, R, and other developer-focused features in the workspace, including helpful tools and utilities.
Notebooks
Notebooks are a common tool in data science and machine learning for developing code and presenting results. In Azure Databricks, notebooks are the primary tool for creating data science and machine learning workflows.