Základní info
This course (based on Oracle Enterprise Data Quality version 12.1.3) teaches the participants how to configure match processors to find and optionally merge exact and similar (fuzzy) matching records. Participants learn how to create sophisticated match rules, configure merge options and review match results. This offering also deals about the different match processors that are available, including those in the Customer Data Extension Pack. Participants also learn to standardize data and see how this can be used to prepare data for matching. In addition this course introduces the participants to Oracle Enterprise Data Quality's transliteration capabilities and shows how to use and interpret results from the Oracle Enterprise Data Quality Address Verification server. Participants learn to reach a semantic understanding of free text by using the Phrase Profiler. They also learn techniques to tailor a Customer Data Extension Pack parse processor to extract, standardize and re-structure data from a free text field and also to configure the Parse processor from scratch. Brief overviews of EDQ's Customer Data Services Pack and Case Management functionality are also provided.Learn To:Configure match processors to identify and optionally merge matching recordsUse Parse processors to extract key data from free text fieldsUse the Address Verification processor and interpret its resultsStandardize data using a number of Oracle Enterprise Data Quality processorsThis course is based on Oracle Enterprise Data Quality version 12.1.3 .Live Virtual Class FormatA Live Virtual Class (LVC) is exclusively for registered students; unregistered individuals may not view an LVC at any time. Registered students must view the class from the country listed in the registration form. Unauthorized recording, copying, or transmission of LVC content may not be made.
