Asset is a resource that represents any type of asset.

Column represents a column in a table or a file.

Dashboard is a resource that represents a dashboard.

Event represents an event in the system.

An experiment is the set of configurations and filters that allow for systematically varying some independent variables to impact some other dependent variables.

Instance of configurations to be compared in the experiment.

Feature is a Machine Learning(ML) feature.

FeatureTable is a Machine Learning(ML) feature table or view that represents a logical group of time-series feature data as it is found in a data source.

An entity is a collection of semantically related features.

Group represents a group of users and resources.

Job is a resource that represents a job.

Linage represents the relationship of resource to other resources.

Member represents a user.

Membership is a relationship between a user and a group.

A metric is a timeseries aggregation over a table that supports zero or more dimensions.

Model represents a Data Science Model commonly used for Machine Learning (ML).

Schema of the model's inputs and outputs.

Specification of name and type of a single column in a dataset.

Owner is a facet that describes the owner of a resource.

Profile is a social media account of the user.

Table is a table in a database.

Join is the metric of which are other tables that are joined with this table.

TableProfile is the metrics about the table.

Topic is resource that represents a logical group of messages in message bus like kafka, pubsub, pulsar etc.

TopicProfile is the profile of the topic.

TopicSchema represents a schema for message bus.

User is a person who uses or operates something.