Flattening CDC tables to use in a data warehouse

Question

I have enabled CDC on 3 tables: [Employee, EmployeeAddress, and Address]. I want to flatten the data out then store it data in a warehouse so I can report what changed in a specific time frame. 
If a Address is updated the linking table (EmployeeAddress) is not updated since the link to the employee already exists so when i flatten out my data my CDC tables cant figure out the who the address belongs to.
It feels wrong to in some cases join my CDC table to my production tables. What is a best practice or recommendation for a scenario like this?
My tables look like:
Employee:
EmployeeId | Name
-------------+-------------
e1               | Bob Jones
e2               | jane Doe
EmployeeAddress:
EmployeeAddressId |EmplyeeId | AddressId
--------------------+----------+---------------
ea1                          | e1              | a1
ea2                          | e2              | a2
ea3                          | e2              | a3
Address:
AddressId | Address
----------+------------------------
a1            | 111 Some Street
a2            | 222 Some Street
a3             | 333 Some Street
SELECT *
FROM [cdc].[fn_cdc_get_all_changes_dbo_Employee](sys.fn_cdc_get_min_lsn('dbo_Employee'), sys.fn_cdc_get_max_lsn(), N'all update old') E
JOIN [cdc].[fn_cdc_get_all_changes_dbo_EmployeeAddress](sys.fn_cdc_get_min_lsn('dbo_EmployeeAddress'), sys.fn_cdc_get_max_lsn(), N'all update old') EA ON EA.EmployeeId = E.EmployeeId
JOIN [cdc].[fn_cdc_get_all_changes_dbo_Address](sys.fn_cdc_get_min_lsn('dbo_Address'), sys.fn_cdc_get_max_lsn(), N'all update old') A ON A.AddressId = EA.AddressId
Thanks!

Answer 1

Create a
dimensional model instead of flattening. Under normal circumstances this leads to model with a small fact table and some slowly changing dimension tables. The key problem is to find some meaningful measures (HR related, e.g. work time) and to determine
the appropriate grain and fact table type (transaction or snapshot (periodic, accumulating or temporal)).
See also
Kimball Dimensional Modeling Techniques.