BRIEF OVERVIEW
Databricks is a unified analytics platform that provides a collaborative environment for data scientists, engineers, and analysts to work together. It offers various features such as data exploration, visualization, and machine learning capabilities.
When using Databricks, an instance name refers to the unique identifier given to each virtual machine (VM) or cluster provisioned on the Databricks platform.
FAQs about Databricks Instance Name:
- Q: How can I find my Databricks instance name?
- Q: Can I change my Databricks instance name?
- Q: Why is knowing the instance name important?
- Q: Are there any restrictions on naming conventions for Databricks instances?
A: To find your Databricks instance name, you can navigate to the Azure Portal or AWS Console depending on your cloud provider. Search for “Databricks” in the respective portal’s search bar and select your desired workspace. From there, you will be able to see a list of instances with their corresponding names.
A: No, once an instance is created in Databricks, its name cannot be changed. However, you have the option to create new instances with different names if needed.
A: The instance name helps identify specific VMs or clusters within your organization’s infrastructure. It allows users to differentiate between multiple instances and facilitates management and troubleshooting tasks.
A: Yes, Databricks instance names must adhere to certain naming conventions. They can contain alphanumeric characters, hyphens, and underscores. The name should be between 1 and 64 characters long.
BOTTOM LINE
Databricks instance name is a unique identifier assigned to each virtual machine or cluster created on the Databricks platform. It helps users manage and distinguish between different instances within their organization’s infrastructure.