DataStudio

class pyatlan.model.assets.DataStudio(*, typeName: str = 'DataStudio', attributes: DataStudio.Attributes = None, businessAttributes: Dict[str, Any] | None = None, createdBy: str | None = None, createTime: int | None = None, deleteHandler: str | None = None, guid: str = None, isIncomplete: bool | None = None, labels: List[str] | None = None, relationshipAttributes: RelationshipAttributes | Dict[str, Any] | None = None, status: EntityStatus | None = None, updatedBy: str | None = None, updateTime: int | None = None, version: int | None = None, classifications: List[AtlanTag] | None = None, classificationNames: List[str] | None = None, displayText: str | None = None, entityStatus: str | None = None, relationshipGuid: str | None = None, relationshipStatus: str | None = None, relationshipType: str | None = None, meaningNames: List[str] | None = None, meanings: List[Meaning] | None = None, customAttributes: Dict[str, Any] | None = None, scrubbed: bool | None = None, pendingTasks: List[str] | None = None, uniqueAttributes: Dict[str, Any] | None = None, appendRelationshipAttributes: Dict[str, Any] | None = None, removeRelationshipAttributes: Dict[str, Any] | None = None, addOrUpdateClassifications: List[AtlanTag] | None = None, removeClassifications: List[AtlanTag] | None = None, semantic: SaveSemantic | None = None, depth: int | None = None, immediateUpstream: List[LineageRef] | None = None, immediateDownstream: List[LineageRef] | None = None)

Description

GOOGLE_LABELS: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

List of labels that have been applied to the asset in Google.

GOOGLE_LOCATION: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

Location of this asset in Google.

GOOGLE_LOCATION_TYPE: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

Type of location of this asset in Google.

GOOGLE_PROJECT_ID: ClassVar[KeywordTextField] = <pyatlan.model.fields.atlan_fields.KeywordTextField object>

ID of the project in which the asset exists.

GOOGLE_PROJECT_NAME: ClassVar[KeywordTextField] = <pyatlan.model.fields.atlan_fields.KeywordTextField object>

Name of the project in which the asset exists.

GOOGLE_PROJECT_NUMBER: ClassVar[NumericField] = <pyatlan.model.fields.atlan_fields.NumericField object>

Number of the project in which the asset exists.

GOOGLE_SERVICE: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

Service in Google in which the asset exists.

GOOGLE_TAGS: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

List of tags that have been applied to the asset in Google.

INPUT_TO_AIRFLOW_TASKS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

INPUT_TO_PROCESSES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

INPUT_TO_SPARK_JOBS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

MODEL_IMPLEMENTED_ATTRIBUTES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

MODEL_IMPLEMENTED_ENTITIES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

OUTPUT_FROM_AIRFLOW_TASKS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

OUTPUT_FROM_PROCESSES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

OUTPUT_FROM_SPARK_JOBS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC