Help Center/ DataArts Lake Formation/ Service Overview/ Application Scenarios/ Metadata Sharing

Updated on 2024-04-17 GMT+08:00

View PDF

Metadata Sharing

Scenario

Multiple services and clusters use unified metadata to maximize data sharing, avoid unnecessary duplicate data, and maximize the value of service data.

Advantages

Being compatible with the Hive metadata model, the SDK client supports easy and fast interconnection between compute engines and LakeFormation.
The API for querying permissions is compatible with the Ranger permission model.

Recommended Services

MRS

GaussDB(DWS)

DLI

For details, contact the corresponding service personnel.

Parent topic: Application Scenarios

Previous topic: Data Lake Construction and Continuous Operations

Next topic: Comparison Between Shared and Exclusive Instances

Feedback

Was this page helpful?

Helpful Not helpful

Provide feedback

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.

The system is busy. Please try again later.

Which of the following issues have you encountered?

Content is inconsistent with the product UI

Unclear descriptions

Lack of examples or code

Incorrect steps

Can't find what I need

Lack of best practices

Feedback (optional)

0/500

Select at least one type of issue, and enter your comments or suggestions.

Enter a maximum of 500 characters.

Submit Cancel

For any further questions, feel free to contact us through the chatbot.