Purview
It is a special type of inventory of all the data collected by an organization.
Data Catalog
It is a unified environment for accessing and managing all Databricks objects, such as notebooks, clusters, jobs, and data.
Workspace
This process involves assigning an information category based on the content of the data object.
Classification
This framework is for building reliable, maintainable, and testable data processing pipelines.
Delta Live Tables
This visual representation shows how data moving from source to destination, including how the data transformed in external system.
Data lineage
This tool designed to incrementally and efficiently process new data files as they arrive in cloud storage.
Auto Loaders
This feature of Microsoft Purview helps in organizing and managing data by providing a centralized view of the data landscape.
Data Map
This feature supports a wide range of task types, to help manage, monitor, and orchestrate ETL process.
Workflow
This feature allows you to manage access to user data in registered sources and ensure that data is handled securely and in compliance with organizational rules.
Data Policy
This feature is designed to run on commodity hardware, providing high throughput data access and fault tolerance. In Databricks, it is used to manage and store large datasets, enabling efficient data processing and analytics.
HDFS