Plan your data warehouse in Dataphin before you start development. A warehouse plan defines data blocks, projects, data sources, compute sources, and statistical periods.
Features
Data warehouse planning defines a global schema across logical and physical spaces for business segmentation, resource management, and project oversight:
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Logical space: Divides namespaces and core objects by business characteristics, including data blocks, data domains, and common business logic modules.
NoteThe Basic R&D Edition does not support data blocks, data domains, or common business logic modules.
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Physical space: Organizes physical projects for collaborative development, including project and data source management.
The two editions differ in planning scope:
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Basic R&D Edition: Planning has two modules: Project and Source. These modules are interdependent. Projects use Compute Source for compute and storage resources, and Datasource for data access.
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Intelligent R&D Edition: Planning has three modules: Business, Project, and Source. These modules are interdependent. Projects use Compute Source for compute and storage resources, and Datasource for data access. Projects can also be associated with data blocks.
Access data warehouse planning
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On the Dataphin home page, click Planning in the top menu bar.
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Use the left-side navigation pane to access each feature module.
