Summarization
The process of compressing data into smaller time components: hours, days and months, decreasing the number of historical data and feeding that data into the data warehouse (summarized readings).
By continuously retrieving and storing data from the data engine, data storage and analysis may become an issue. By compressing this data, less storage is needed and analyses are easier to perform.
 | • Almost all AWM analytics are based on summarized data. • Not all measurement fields are included in the summarization process. Some fields are (Free field 1/3 for vendor specific readings) alphanumerical and cannot be summarized. Only numerical fields can be summarized. |