Usage by Day
Tracks CPU, Disk, and Memory sensor readings on a Device Aggregated to the day using Min, Max and Average metrics.
Methodology: Kimball Star Schema.
Fact Type: Transactional
Grain: Monitored Performance Service Instances by device and hour.
Usage by Day schema
Usage by Day table joins
FACT: FACT_UTILIZATION_DAY
Dimension | Dimension key | Fact key | Cardinality |
---|---|---|---|
DIM_TENANT |
TENANT_DK |
TENANT_DK |
1:N |
DIM_CUSTOMER |
CUSTOMER_SK |
CUSTOMER_SK |
1:N |
DIM_CUSTOMER_LATEST |
CUSTOMER_DK |
CUSTOMER_DK |
1:N |
DIM_SITE |
SITE_SK |
SITE_SK |
1:N |
DIM_SITE_LATEST |
SITE_DK |
SITE_DK |
1:N |
DIM_DEVICE_SUMMARY |
DEVICE_SK |
DEVICE_SK |
1:N |
DIM_DEVICE_SUMMARY_LATEST |
DEVICE_DK |
DEVICE_DK |
1:N |
DIM_DATE |
DATE_DK |
SCAN_DATE_DK |
1:N |
DIM_SERVICE |
SERVICE_INSTANCE_DK |
SERVICE_INSTANCE_DK |
1:N |
DIM_UTILIZATION_PROFILE |
UTILIZATION_PROFILE_DK |
UTILIZATION_PROFILE_DK |
1:N |
Boilerplate for Usage by Day
Select
-- enter columns here
From SHARED_ANALYTICS_DATA.SHARED_DATA.FACT_UTILIZATION_DAY f
Join SHARED_ANALYTICS_DATA.SHARED_DATA.DIM_CUSTOMER c on f.Customer_SK = c.Customer_SK
Join SHARED_ANALYTICS_DATA.SHARED_DATA.DIM_CUSTOMER_LATEST cl on f.Customer_DK = cl.Customer_DK
join SHARED_ANALYTICS_DATA.SHARED_DATA.DIM_SITE s on f.Site_SK = s.Site_SK
join SHARED_ANALYTICS_DATA.SHARED_DATA.DIM_SITE_LATEST sl on f.Site_DK = sl.Site_DK
join SHARED_ANALYTICS_DATA.SHARED_DATA.DIM_DEVICE_SUMMARY d on f.Device_SK = d.Device_SK
join SHARED_ANALYTICS_DATA.SHARED_DATA.DIM_DEVICE_SUMMARY_LATEST dl on f.Device_DK = dl.Device_DK
join SHARED_ANALYTICS_DATA.SHARED_DATA.DIM_DATE dt on f.Event_Date_DK = dt.Date_DK
join SHARED_ANALYTICS_DATA.SHARED_DATA.DIM_SERVICE si on f.Service_Instance_DK = si.Service_Instance_DK
join SHARED_ANALYTICS_DATA.SHARED_DATA.DIM_UTILIZATION_PROFILE u on f.Utilization_Profile_DK = u.Utilization_Profile_DK
-- Where clauses here
-- Group By columns here
-- Having clauses here
-- Order by columns here