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Data warehousingIn addition to designing and implementing HCL OneDB™ dimensional databases, you can use tools to create data warehouse applications and optimize your data warehouse queries.
Dimensional databasesThe HCL OneDB™ Data Warehouse Guide provides information to help you design, implement, and manage dimensional databases, and describes the tools that you can use to create data warehouses and optimize your data warehouse queries.
Design a dimensional data modelTo build a dimensional database, you start by designing a dimensional data model for your business.
Building a dimensional data model
Determine the granularity of the fact tableAfter you gather all the relevant information about the subject area, the next step in the design process is to determine the granularity of the fact table.
Use the business process to determine the granularity
Customer by product level granularityThe granularity of the fact table should always represent the lowest level for each corresponding dimension.

Customer by product level granularity

The granularity of the fact table should always represent the lowest level for each corresponding dimension.

When you review the information from the business process, the granularity for customer and product dimensions of the fact table are apparent. Customer and product cannot be reasonably reduced any further. These dimensions already express the lowest level of an individual record for the fact table. In some cases, product might be further reduced to the level of product component because a product could be made up of multiple components.

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