Adding and Authorizing Big Data Assets
To identify sensitive data, perform static masking, or add/extract data watermarks for big data assets, authorize DSC to access the databases within your big data instances.
- For user-built big data assets: Add instances to DSC (refer to "Adding a Database Instance"), then authorize DSC to access the databases or indexes within the instances (refer to Authorizing Databases/Indexes Within Big Data Instances).
- For cloud big data assets: Instance addition is not required. Authorize DSC to access your databases or indexes (refer to Authorizing Databases/Indexes Within Big Data Instances).
Prerequisites
- DSC has been allowed to access big data assets. For details, see Allowing or Disallowing Access to Cloud Assets.
- You have obtained the version, server, and index information of the user-built ES, HBase, and Hive data sources, and there are available IP addresses in the subnets of these data sources.
- You have applied for an ECS instance and installed big data assets on it. For details, see Purchasing and Using a Windows ECS.
- You have applied for a security group. For details, see Creating a Security Group.
Supported Big Data Source Types and Versions
The following table lists the big data source types and versions supported by DSC.
| Data Source | Data Source Type | Version |
|---|---|---|
| Cloud Search Service (CSS) | ElasticSearch | 5.x, 6.x, and 7.x |
| MapReduce Service (MRS) | Hive | 1.0 |
| MRS-Hive | 3.x | |
| - | Hbase | 1.0 |
Adding a Big Data Asset
This section describes how to add a user-built big data assets to DSC for data management.
Authorizing Databases/Indexes
Before authorizing big data instance databases or indexes, ensure the following prerequisites are met: CSS services are enabled; assets exist within CSS; available IP address quotas are present in the respective subnet; and the Status of the instance is Successful.
Related Operations
- Deleting an instance
A big data instance can be deleted only when the big data instance is a user-built instance and the number of authorized databases or indexes in it is 0.
Select multiple user-built instances and click Batch Delete in the upper left corner of the instance list to delete the instances. You can also click Delete in the Operation column of the instance list to delete a single instance.
- Editing an instance
You can edit the information about a user-built big data instance. Select a big data type, click the instance tab, locate the target instance, and click Edit in the Operation column to edit the instance information.
- Editing a database, index, or namespace
Select a big data type. On the database, index, or namespace tab page, click Edit in the Operation column to edit the corresponding information.
- Retrieving the metadata of an instance
- If the number of authorized databases in the MRS_Hive instance is greater than 0, click More > Refresh in the Operation column of the Hive instance list to automatically create a metadata task to obtain the database, table, and column information of the instance.
- If you enable the function of automatically creating a metadata task when adding a Hive instance, the system automatically creates a metadata task to obtain all metadata of the instance after the instance is created. You can manually create a metadata task by referring to Creating a Metadata Scanning Task.
- Creating an identification task
In the Databases tab, locate the target asset and click Create Identification Task in the Operation column to classify and grade the asset. For details, see Creating an Identification Task.
References
- Adding Unstructured OBS Data: After adding OBS data, you can identify sensitive data, mask data statically, and add or extract data watermarks.
- Adding a Database Asset and Granting Permissions: After a database asset is added, you can identify sensitive data, statically mask data, and add or extract data watermarks for the database asset.
- Adding a Log Stream: After a log stream is added, you can identify sensitive data in the log.
What is your overall rating for this page?
Thank you very much for your feedback. We will continue working to improve the documentation.See the reply and handling status in My Cloud VOC.
For any further questions, feel free to contact us through the chatbot.
Chatbot

