Normalization

the normalization processor eliminates redundant data (storing the same data in more than one table) and ensures data dependencies make sense (only storing related data in a table) this processor is also used to eliminate the undesirable characteristics like insertion, update and deletion anomalies normalization overview initially, a window of value is observed, and the next value is converted between 0 and 1, based on the method of normalization used afterwards, the values follow moving window algorithm and the next value is again placed between 0 and 1 based on the previous window normalization parameters true 182 unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type note when creating an analytics flow with normalization processor, refer the docid\ owvrf72sb93mdc3mw5irh guide for more details