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.
Attributes
Name
Description
name
str
Output only. The relative resource name of the lake, of the
form:
projects/{project_number}/locations/{location_id}/lakes/{lake_id}.
display_name
str
Optional. User friendly display name.
uid
str
Output only. System generated globally unique
ID for the lake. This ID will be different if
the lake is deleted and re-created with the same
name.
create_time
google.protobuf.timestamp_pb2.Timestamp
Output only. The time when the lake was
created.
update_time
google.protobuf.timestamp_pb2.Timestamp
Output only. The time when the lake was last
updated.
labels
MutableMapping[str, str]
Optional. User-defined labels for the lake.
str
Output only. Service account associated with
this lake. This service account must be
authorized to access or operate on resources
managed by the lake.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[],[],null,["# Class Lake (2.11.0)\n\nVersion latestkeyboard_arrow_down\n\n- [2.11.0 (latest)](/python/docs/reference/dataplex/latest/google.cloud.dataplex_v1.types.Lake)\n- [2.10.2](/python/docs/reference/dataplex/2.10.2/google.cloud.dataplex_v1.types.Lake)\n- [2.9.0](/python/docs/reference/dataplex/2.9.0/google.cloud.dataplex_v1.types.Lake)\n- [2.8.0](/python/docs/reference/dataplex/2.8.0/google.cloud.dataplex_v1.types.Lake)\n- [2.7.1](/python/docs/reference/dataplex/2.7.1/google.cloud.dataplex_v1.types.Lake)\n- [2.6.0](/python/docs/reference/dataplex/2.6.0/google.cloud.dataplex_v1.types.Lake)\n- [2.5.0](/python/docs/reference/dataplex/2.5.0/google.cloud.dataplex_v1.types.Lake)\n- [2.4.0](/python/docs/reference/dataplex/2.4.0/google.cloud.dataplex_v1.types.Lake)\n- [2.3.1](/python/docs/reference/dataplex/2.3.1/google.cloud.dataplex_v1.types.Lake)\n- [2.2.2](/python/docs/reference/dataplex/2.2.2/google.cloud.dataplex_v1.types.Lake)\n- [2.1.0](/python/docs/reference/dataplex/2.1.0/google.cloud.dataplex_v1.types.Lake)\n- [2.0.1](/python/docs/reference/dataplex/2.0.1/google.cloud.dataplex_v1.types.Lake)\n- [1.13.0](/python/docs/reference/dataplex/1.13.0/google.cloud.dataplex_v1.types.Lake)\n- [1.12.3](/python/docs/reference/dataplex/1.12.3/google.cloud.dataplex_v1.types.Lake)\n- [1.11.0](/python/docs/reference/dataplex/1.11.0/google.cloud.dataplex_v1.types.Lake)\n- [1.10.0](/python/docs/reference/dataplex/1.10.0/google.cloud.dataplex_v1.types.Lake)\n- [1.9.0](/python/docs/reference/dataplex/1.9.0/google.cloud.dataplex_v1.types.Lake)\n- [1.8.1](/python/docs/reference/dataplex/1.8.1/google.cloud.dataplex_v1.types.Lake)\n- [1.7.0](/python/docs/reference/dataplex/1.7.0/google.cloud.dataplex_v1.types.Lake)\n- [1.6.2](/python/docs/reference/dataplex/1.6.2/google.cloud.dataplex_v1.types.Lake)\n- [1.5.1](/python/docs/reference/dataplex/1.5.1/google.cloud.dataplex_v1.types.Lake)\n- [1.4.3](/python/docs/reference/dataplex/1.4.3/google.cloud.dataplex_v1.types.Lake)\n- [1.3.0](/python/docs/reference/dataplex/1.3.0/google.cloud.dataplex_v1.types.Lake)\n- [1.2.0](/python/docs/reference/dataplex/1.2.0/google.cloud.dataplex_v1.types.Lake)\n- [1.1.3](/python/docs/reference/dataplex/1.1.3/google.cloud.dataplex_v1.types.Lake)\n- [1.0.1](/python/docs/reference/dataplex/1.0.1/google.cloud.dataplex_v1.types.Lake)\n- [0.2.1](/python/docs/reference/dataplex/0.2.1/google.cloud.dataplex_v1.types.Lake)\n- [0.1.0](/python/docs/reference/dataplex/0.1.0/google.cloud.dataplex_v1.types.Lake) \n\n Lake(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nA lake is a centralized repository for managing enterprise\ndata across the organization distributed across many cloud\nprojects, and stored in a variety of storage services such as\nGoogle Cloud Storage and BigQuery. The resources attached to a\nlake are referred to as managed resources. Data within these\nmanaged resources can be structured or unstructured. A lake\nprovides data admins with tools to organize, secure and manage\ntheir data at scale, and provides data scientists and data\nengineers an integrated experience to easily search, discover,\nanalyze and transform data and associated metadata.\n\nClasses\n-------\n\n### LabelsEntry\n\n LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nThe abstract base class for a message.\n\n### Metastore\n\n Metastore(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nSettings to manage association of Dataproc Metastore with a\nlake.\n\n### MetastoreStatus\n\n MetastoreStatus(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nStatus of Lake and Dataproc Metastore service instance\nassociation."]]
