Nested message and enum types in Action
.
Nested message and enum types in AspectType
.
Nested message and enum types in Asset
.
Generated client implementations.
Nested message and enum types in Content
.
Generated client implementations.
Nested message and enum types in DataAttributeBinding
.
Nested message and enum types in DataProfileResult
.
Nested message and enum types in DataProfileSpec
.
Nested message and enum types in DataQualityResult
.
Nested message and enum types in DataQualityRule
.
Nested message and enum types in DataQualityScanRuleResult
.
Nested message and enum types in DataQualitySpec
.
Nested message and enum types in DataScan
.
Nested message and enum types in DataScanEvent
.
Nested message and enum types in DataScanJob
.
Generated client implementations.
Nested message and enum types in DataSource
.
Generated client implementations.
Generated client implementations.
Nested message and enum types in DiscoveryEvent
.
Nested message and enum types in Entity
.
Nested message and enum types in EntrySource
.
Nested message and enum types in EntryType
.
Nested message and enum types in Environment
.
Nested message and enum types in GetContentRequest
.
Nested message and enum types in GetDataScanJobRequest
.
Nested message and enum types in GetDataScanRequest
.
Nested message and enum types in GetEntityRequest
.
Nested message and enum types in GovernanceEvent
.
Nested message and enum types in Job
.
Nested message and enum types in JobEvent
.
Nested message and enum types in Lake
.
Nested message and enum types in ListEntitiesRequest
.
Generated client implementations.
Nested message and enum types in ScannedData
.
Nested message and enum types in Schema
.
Nested message and enum types in SearchEntriesResult
.
Nested message and enum types in SessionEvent
.
Nested message and enum types in StorageAccess
.
Nested message and enum types in StorageFormat
.
Nested message and enum types in Task
.
Nested message and enum types in Trigger
.
Nested message and enum types in Zone
.
Action represents an issue requiring administrator action for resolution.
An aspect is a single piece of metadata describing an entry.
AspectSource contains source system related information for the
aspect.
Aspect Type is a template for creating Aspects, and represents the
JSON-schema for a given Entry, e.g., BigQuery Table Schema.
An asset represents a cloud resource that is being managed within a lake as a
member of a zone.
Aggregated status of the underlying assets of a lake or zone.
Cancel task jobs.
Content represents a user-visible notebook or a sql script
Create AspectType Request
Create asset request.
Create content request.
Create DataAttributeBinding request.
Create DataAttribute request.
Create dataScan request.
Create DataTaxonomy request.
Create a metadata entity request.
Create EntryGroup Request
Create EntryType Request
Create environment request.
Create lake request.
Create metadata partition request.
Create task request.
Create zone request.
DataAccessSpec holds the access control configuration to be enforced on data
stored within resources (eg: rows, columns in BigQuery Tables). When
associated with data, the data is only accessible to
principals explicitly granted access through the DataAccessSpec. Principals
with access to the containing resource are not implicitly granted access.
Denotes one dataAttribute in a dataTaxonomy, for example, PII.
DataAttribute resources can be defined in a hierarchy.
A single dataAttribute resource can contain specs of multiple types
DataAttributeBinding represents binding of attributes to resources. Eg: Bind
‘CustomerInfo’ entity with ‘PII’ attribute.
DataProfileResult defines the output of DataProfileScan. Each field of the
table will have field type specific profile result.
DataProfileScan related setting.
DataQualityColumnResult provides a more detailed, per-column view of
the results.
A dimension captures data quality intent about a defined subset of the rules
specified.
DataQualityDimensionResult provides a more detailed, per-dimension view of
the results.
The output of a DataQualityScan.
A rule captures data quality intent about a data source.
DataQualityRuleResult provides a more detailed, per-rule view of the results.
Information about the result of a data quality rule for data quality scan.
The monitored resource is ‘DataScan’.
DataQualityScan related setting.
Represents a user-visible job which provides the insights for the related
data source.
These messages contain information about the execution of a datascan.
The monitored resource is ‘DataScan’
Next ID: 13
A DataScanJob represents an instance of DataScan execution.
The data source for DataScan.
DataTaxonomy represents a set of hierarchical DataAttributes resources,
grouped with a common theme Eg: ‘SensitiveDataTaxonomy’ can have attributes
to manage PII data. It is defined at project level.
Delele AspectType Request
Delete asset request.
Delete content request.
Delete DataAttributeBinding request.
Delete DataAttribute request.
Delete dataScan request.
Delete DataTaxonomy request.
Delete a metadata entity request.
Delele EntryGroup Request
Delele EntryType Request
Delete environment request.
Delete lake request.
Delete metadata partition request.
Delete task request.
Delete zone request.
The payload associated with Discovery data processing.
Represents tables and fileset metadata contained within a zone.
An entry is a representation of a data asset which can be described by
various metadata.
An Entry Group represents a logical grouping of one or more Entries.
EntrySource contains source system related information for the
entry.
Entry Type is a template for creating Entries.
Environment represents a user-visible compute infrastructure for analytics
within a lake.
Request details for generating data quality rule recommendations.
Response details for data quality rule recommendations.
Get AspectType request
Get asset request.
Get content request.
Get DataAttributeBinding request.
Get DataAttribute request.
Get DataScanJob request.
Get dataScan request.
Get DataTaxonomy request.
Get metadata entity request.
Get EntryGroup request.
Get EntryType request
Get environment request.
Get job request.
Get lake request.
Get metadata partition request.
Get task request.
Get zone request.
Payload associated with Governance related log events.
A job represents an instance of a task.
The payload associated with Job logs that contains events describing jobs
that have run within a Lake.
A lake is a centralized repository for managing enterprise data across the
organization distributed across many cloud projects, and stored in a variety
of storage services such as Google Cloud Storage and BigQuery. The resources
attached to a lake are referred to as managed resources. Data within these
managed resources can be structured or unstructured. A lake provides data
admins with tools to organize, secure and manage their data at scale, and
provides data scientists and data engineers an integrated experience to
easily search, discover, analyze and transform data and associated metadata.
List actions response.
List AspectTypes request
List AspectTypes response
List asset actions request.
List assets request.
List assets response.
List content request. Returns the BASIC Content view.
List content response.
List DataAttributeBindings request.
List DataAttributeBindings response.
List DataAttributes request.
List DataAttributes response.
List DataScanJobs request.
List DataScanJobs response.
List dataScans request.
List dataScans response.
List DataTaxonomies request.
List DataTaxonomies response.
List metadata entities request.
List metadata entities response.
List entryGroups request.
List ListEntryGroups response.
List EntryTypes request
List EntryTypes response
List environments request.
List environments response.
List jobs request.
List jobs response.
List lake actions request.
List lakes request.
List lakes response.
List metadata partitions request.
List metadata partitions response.
List sessions request.
List sessions response.
List tasks request.
List tasks response.
List zone actions request.
List zones request.
List zones response.
Represents the metadata of a long-running operation.
Represents partition metadata contained within entity instances.
ResourceAccessSpec holds the access control configuration to be enforced
on the resources, for example, Cloud Storage bucket, BigQuery dataset,
BigQuery table.
Run DataScan Request
Run DataScan Response.
The data scanned during processing (e.g. in incremental DataScan)
Schema information describing the structure and layout of the data.
A single result of a SearchEntries request.
Represents an active analyze session running for a user.
These messages contain information about sessions within an environment.
The monitored resource is ‘Environment’.
Describes the access mechanism of the data within its storage location.
Describes the format of the data within its storage location.
A task represents a user-visible job.
DataScan scheduling and trigger settings.
Update AspectType Request
Update asset request.
Update content request.
Update DataAttributeBinding request.
Update DataAttribute request.
Update dataScan request.
Update DataTaxonomy request.
Update a metadata entity request.
The exiting entity will be fully replaced by the entity in the request.
The entity ID is mutable. To modify the ID, use the current entity ID in the
request URL and specify the new ID in the request body.
Update EntryGroup Request
Update EntryType Request
Update environment request.
Update lake request.
Update task request.
Update zone request.
A zone represents a logical group of related assets within a lake. A zone can
be used to map to organizational structure or represent stages of data
readiness from raw to curated. It provides managing behavior that is shared
or inherited by all contained assets.