The lookback window for this insight is 90 days (the date range for the data included).
TYPE: The event type
FULL_TABLE_ID : A concatenation of project, dataset and table name
PROJECT_NAME : As defined externally
DATASET_NAME : As defined externally (e.g. a schema in snowflake)
TABLE_NAME: As defined externally
TABLE_TYPE : Field values: table, view, external, wildcard_table
FIELD: The field for metric and distribution events.
FIELD_VAL: The field value for distribution events.
CREATED_AT : The timestamp of event created time
LAST_UPDATE: The event start time for freshness and unchanged size events.
ANOMALOUS_DATA_TIME: The event start time for schema changes, size diff, metric and distribution events
MIN_EXPECTED: The minimum value that the model expected
EXPECTED: The expected update time for freshness and unchanged size events.
MAX_EXPECTED: The maximum value that the model expected (check)
ACTUAL: The actual value measurement (timestamp or number).
FIRST_STATUS: The first given status for the incident.
FIRST_STATUS_TIME: The timestamp of the FIRST_STATUS
HOURS_TO_FIRST_STATUS: The difference between FIRST_STATUS_TIME and CREATED_AT.
LAST_STATUS: The last given status for the incident.
LAST_STATUS_TIME: The timestamp for the LAST_STATUS
RESOLVE_TIME: The timestamp of the end of the event.
HOURS_TO_RESOLUTION: The difference between RESOLVE_TIME and CREATED_AT.
MC_INCIDENT_ID: Unique ID for the incident
EVENT_APP_URL: A link to the event in the app.
MC_EVENT_ID: Unique ID given to the event (there can be many events to one incidents
DOMAINS: As created by the user in the UI.
Updated about 2 months ago