How to define granularity within a measure group?
The attribute that is specified as the granularity attribute effectively becomes the key attribute within the measure group for the remaining attributes in the dimension. If you do not specify attribute relationships appropriately, Analysis Services will not be able to aggregate values correctly, as you will see in the tasks in this topic.
How to handle fact tables with different granularities in?
In Power Pivot this situation is often the reason of many troubles for Excel users, mostly because it is not clear how to correctly apply data modeling. Moreover, also who comes from a Multidimensional background does not know how to handle relationships between fact tables and a dimension at different granularities.
When to change the grain of a dimension?
When you change the grain of a dimension within a specific measure group to an attribute other than the key attribute for that dimension, you must guarantee that all other attributes in the measure group are directly or indirectly related to new granularity attribute.
How to handle different granularity in Power BI?
Now, consider the following dataset: There is a Date dimension table and a relationship has been built between it and the Daily Sales table, which contains sales information at the date granularity. There is also a Monthly Budget table that contains data at the Month granularity, and no relationship between it and the Date dimension table.
Which is an example of time dimension granularity?
For example, sales data for reseller or internet sales may be recorded for each day, whereas sales quota information may only exist at the month or quarter level. In these scenarios, users will want a time dimension with a different grain or level of detail for each of these different fact tables.
When to use day granularity in line chart?
However, line charts return optimal results when used at the day granularity. To obtain the best visualization at other levels of granularity, it is necessary to apply changes to the data model and to write a DAX expression. In the following sections you will see how to: Before analyzing the solution, we need to clearly state the problem.
How to rank dimensions by granularity in tableau?
Grouping dimensions by rank at a higher level of granularity while showing most granular values. Example: Ranking Top 5 countries within a product while showing Sales at a monthly level Use a Fixed calculation to calculate Rank without taking view into consideration.