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Disclosed in this article is an efficient and resource-limiting method to persist event data into a data warehouse.
English (United States)
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Persisting Event Data into Component and Measurement Data into Data Warehouse
Disclosed in this article in an efficient and resource-limiting method to persist event data
into a data warehouse. The method described limits the amount of physical resources
required when persisting event data. In an enterprise environment event data can be
quite voluminous and storing this data in a data warehouse can be overwhelming, and
To limit the number of data entries into the data warehouse, events are aggregated into
"availability outage" measurements. Based on some pre-defined rules in the event
management system these outage records are created and stored in the operational
data store. The ruleset significantly reduces the number of event entries by combining
multiple events into a single "availability outage" record. These "availability outage"
records are then stored in the data warehouse for future reporting requirements.
An "availability outage" is a unique way to store availability data. The premise behind
an "availability outage" is to report on outages versus availability time, or steady state
time. This reduces the volume of data, because the assumption is that the component
being monitored for availability spends most of its time in the steady state. When the
component enters the non-steady state the "availability outage" begins, and when the
component goes back to the steady state the "availability outage" ends. This model
lends itself well for use...