Salesforce Com, Inc.

Salesforce, Inc.

Jason Day

Vineeth Anand Nair

Shengfan He

Jeffrey Scott Middlesworth

David J Woodward

Narinder Pal Singh

Stephen Goforth

Zachary McNulty

Aaron M Popelka

Noah Bruce Guyot

Kasia Fichtner

Bradley Carroll Wright

Pam Walquist

Caroline Casey Logue

Christopher James Bill

Sarah Flamion

Raveendrnathan Loganathan

Kaustubh Barde

Chaitanya Pinnamaneni

Sumit Garg

An application may support ingestion of data to a data server. A user may identify the data source, and the server may determine a connector corresponding to the identified data source. The server may support a plurality of connectors for data ingestion. Based on the selected source, the user may select a data channel type, where the data channel type is associated with one or more packaged data sets that include different data set types. The server may then ingest the data set using the determined connector. The application may further support mapping of source and target attributes, custom mapping, and transformation functions.

Prepackaged data ingestion from various data sources

A data server may support segment identification based on a selected user profile. For example, a user may select a user profile as the basis for identifying a segment of additional user profiles. The server may identify attributes associated with the selected user identifier and generate an expression based on the identified subset. The expression may include a normalization function corresponding to at least one attribute. The normalization function may identify correlated attribute values for an attribute associated with the selected user profile. The data server may query a data storage system to identify the additional user profiles based on the expression. The data server may also support user defined Boolean expressions such that the expression is used to identify user identifiers associated with a first attribute and a second attribute.

Generalizing a segment from user data attributes

Methods, systems, and devices are described that support extensible data mapping. A data mapping server may receive an indication of a source schema for a data source and may receive a user input indicating creation of a custom data object to handle the source schema. The server may create the custom data object based on the user input. The data mapping server may automatically map one or more data fields for a source data object (e.g., based on the source schema) to one or more custom data fields for the custom data object (e.g., based on a custom schema). The server may import a set of data records stored at the data source and may store the data records in a database system according to the custom schema based on the data mapping. The stored custom data objects may be used for segmentation, activation, analysis, or some combination thereof.

Creating an extensible and scalable data mapping and modeling experience

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Fortville, IN, United States of America

Jason Day