Metadata — metadata extraction and display of asset information (tables, columns, schemas). Types collected: Schema, Virtual Table, Virtual Column, Data Job, Data Run, Data Task
Data Quality Monitors
Job Failure
General
Profiling
Preview
Data Quality
Configurable Collection
External Table
View Table
Stored Procedure
Data Quality Monitors
Freshness
Volume
Field Health
Custom SQL
Schema Drift
Apache Spark can map lineage relationships to upstream and downstream objects from the following connectors:
Upstream Connectors: postgresql, adls
Downstream Connectors: postgresql, adls
Connection Requirements
Please see the instructions and minimum requirements for configuration in each data source below: