Overview
DataArts Studio is a one-stop data governance platform that provides full data lifecycle management and intelligent data management capabilities. It is built on a data lake foundation and provides data integration, development, and governance capabilities. The following table lists the use cases for different application scenarios.
|
Example Use Case |
Data Lake Foundation |
Capability |
Scenario |
|---|---|---|---|
|
DLI |
Data development |
Full data lifecycle management is usually not required, and fully managed big data scheduling capabilities are required. Such scenarios include trial use for developers and small-scale verification. |
|
|
Beginners: Data Integration and Development Based on Movie Scores |
DWS |
Data integration and development |
Big data development scenarios such as management of data ETL tasks where data governance is not required. Such scenarios include trial use for developers and small-scale verification. |
|
(Coming Soon) Intermediate Users: Lightweight Data Governance Based on the Analysis of Sales per Unit Area |
DLI |
Data integration, data development, and lightweight data governance |
Lightweight data governance capabilities are required, such as DataArts Quality, DataArts Catalog, and DataArts DataService, but DataArts Architecture is not required. |
|
MRS Hive |
Data integration, data development, and data governance |
All data governance capabilities are required. Users should have a data management team and system and want to implement enterprise information architecture, data standards, data models, and data metrics. The DAYU data governance methodology applies to this scenario. |
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.
