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Details of such transformation functions are found here.

Data Prep provides 100+ functions and operators to do such no-code/low-code transformations out-of-the-box. before they can be stored in a standardized data model and easily accessible by marketers. Quite often, the raw data needs in-line transformation such as String processing, data type conversions and formatting and cleansing, etc. This is essential because most data sources are modeled for operational use-cases whereas AEP is modeled for marketing use-cases. These are 1-to-1 mapping between columns in source/destination files/messages to/from fields in XDM Schemas. The following are the core capabilities provided by Data Prep: Mapping This enables out-of-the-box use cases and applications such as Analytics, Data Science and Activation to be seamlessly built out of disparate data sources instead of the customer having to interpret data from different sources differently.ĭata Prep helps to ingest data into various customer data formats as well as to egress data from AEP to formats required by various destinations. XDM provides a way to store semantically normalized data from across different channels relevant to the customer experience domain. Experience Data Model (XDM)Īll the data stored in AEP conforms to a set of schemas that are based on an open-source standard data model called Experience Data Model (XDM).

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