Technical Documentation : Connectors : Adding a Google Dataplex Connection
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Adding a Google Dataplex Connection
Prerequisites
  • A user with sufficient permissions is required to establish a connection with Dataplex.
  • Zeenea traffic flows towards the data source must be open.
Note: You can find a link to the configuration template in Zeenea Connector Downloads.
Supported Versions
The Dataplex connector was developed and tested with the web version of the product.
Installing the Plugin
The Google plugin can be downloaded here: Zeenea Connector Downloads.
For more information on how to install a plugin, please refer to the following article: Installing and Configuring Connectors as a Plugin.
Declaring the Connection
Creating and configuring connectors is done through a dedicated configuration file located in the /connections folder of the relevant scanner.
In order to establish a connection with a Dataplex instance, specifying the following parameters in the dedicated file is required:
Parameter
Expected Value
name
The name that will be displayed to catalog users for this connection
code
Unique identifier of the connection on the Zeenea platform. Once registered on the platform, this code must not be modified or the connection will be considered as new and the old one removed from the scanner.
connector_id
The type of connector to be used for the connection. Here, the value must be google-dataplex and this value must not be modified.
connection.json_key

JSON access key.

The key can be indicated directly or put in a separate file. In the latter case, this parameter indicates the path to the file in the form of a URI of scheme file:. Example: file:///opt/zeenea-scanner/connections/gdc_json_key.json

Warning: If you indicate directly the token, you must use triple quotes to encapsulate the key as a parameter.

Example: """{my:"json"}"""

connection.project_id
List of project ids separated by a comma
connection.location_id
List of location ids separated by a comma. Location id corresponds to GCP region (example: "europe-west3,us-west1").
proxy.scheme
Depending on the proxy, http or https
proxy.hostname
Proxy address
proxy.port
Proxy port
proxy.username
Proxy username
proxy.password
Proxy account password
quota.read_per_minute
Reads per minute quota value. Default value: 6000 (default value of Google Data Catalog).
quota.search_per_user_per_minute
Search quota value per user per minute. Default value: 180 (default value in Google Data Catalog).
quota.timeout_minute
Maximum waiting time when waiting for the availability of a quota. Default value: 10 minutes.
quota.max_retry
Maximum number of retries when a request encounters a quota expiration error
Rich Filters
The Dataplex connector benefits from the feature of rich filters in the configuration of the connector.
Criteria
Description
lake
Dataplex lake name
zone
Dataplex zone name
entity
Dataplex entity name
Read more: Filters
User Permissions
In order to collect metadata, the running user's permissions must allow them to access and read databases that need cataloging.
Here, the user must have the followings authorizations:
  • dataplex.zones.list
  • dataplex.lakes.list
  • dataplex.entities.list
  • dataplex.entities.get
Data Extraction
To extract information, the connector runs the following request on the Google Dataplex API:
  • projects.locations.lakes.zones.entities.get
Collected Metadata
Inventory
Will collect the list of objects accessible by the user.
Dataset
A dataset is a Google Dataplex object.
  • Name
  • Source Description
  • Technical Data:
    • Project Id
    • Location Id
    • Lake Id
    • Zone Id
    • Entity Id
    • Created At
    • Updated At
    • Type
    • Data Path
    • Source System
    • Format
Field
Dataset field.
  • Name
  • Source Description
  • Type
  • Can be null: Depending on the field settings.
  • Multivalued: Not supported. Default value false.
  • Primary Key: Depending on the "Primary Key" field attribute.
  • Technical Data:
    • Technical Name
    • Native type
Unique Identification Keys
An identification key is associated with each object in the catalog. In the case of the object being created by a connector, the connector builds it.
More information about how it works can be found here: Identification Keys.
Object
Identifier Key
Description
Dataset
code/project/location/lake/zone/dataset name
- code: Unique identifier of the connection noted in the configuration file
- project: Object project
- location: Project location
- lake: Object lake
- zone: Object zone
- dataset name
Field
code/project/location/lake/zone/dataset name/field name
- code: Unique identifier of the connection noted in the configuration file
- project: Object project
- location: Project location
- lake: Object lake
- zone: Object zone
- dataset name
- field name
Last modified date: 11/28/2025