Also, build your data model around the star schema framework rather than the snowflake schema. This will ensure that there aren’t too many additional relationships between tables causing bottlenecks. Check out our Data Modeling in Power BI tutorial for best practices when designing your data model...
I think we'd need to implement this similar to how we implemented persist_docs for views on Snowflake in dbt-snowflake==1.0. On that platform, we also don't have the ability to run alter / comment statements after a view is created. Instead, we need to run the model SQL first, wit...
When you add a table to the diagram, it creates as an independent table with square corners in the Data Model Explorer. You can create relationships between tables and create views as needed. As you draw relationships and foreign Keys, associating the table with others, ER/Studio Data ...
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1. If you want to treat product as belonging to certain suppliers, rather than as truly separate dimensions, then you could "snowflake" suppliers off of product. You would need a row in the product dimension for each combination of supplier/product. 2. In your visuals, you can Hide r...
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Before you can use the DBMS_AWM procedures, you must create a cube in the OLAP Catalog and map it to the source fact table and dimension tables. The source tables must be organized in a basic star or snowflake schema. You can use Enterprise Manager, or you can write scripts that use ...
SnowflakeTo add a database role to a model: In the Data Model Window, expand the logical Main Model or the Main Model of a physical model for which database roles are supported, right-click the Roles node, and then click New Database Role. In the Role Wizard, assign the permissions ...
Basic Star or Snowflake Schema OLAP Management is a tool in Oracle Enterprise Manager that provides an easy-to-use graphical interface to release 1 of the OLAP Catalog (CWM). This tool creates a database DIMENSION object for all logical dimensions defined in the metadata, which imposes the fo...