Salesforce, Inc.

Lingyu Deng

Raveendrnathan Loganathan

Amit Martu Kamat

Jawad Ahmed Ibrahim Katib

Srinivas Tirupati

Hyun Seung Hong

Xun Sun

Prasanthi Oruganti

Rajiv Karuthethil

Ashish Thapliyal

Vishal Meghani

Prahshant Bharadwaj

Sudheer Kumar Kanaka

Methods, systems, apparatuses, and computer program products are described. A computing device may receive a user input indicating a data stream, a data metric configured for a tenant of a multi-tenant database system, a rule associated with the data metric, a trigger based on the data metric, or some combination thereof. The computing device may receive, from the data stream, a real-time data stream including information corresponding to the data metric configured for the tenant, where the real-time data stream may be associated with a first user profile stored at the multi-tenant database system. The computing device may evaluate the rule, the trigger, or both based on ingesting the data stream and may perform the action based on the evaluation. Performing the action may involve sending a message to a user device associated with the first user profile in response to at least a portion of the data stream.

Rule evaluation for real-time data stream

A method that includes receiving a first configuration and a second configuration that define a set of rules for matching and merging a set of source data objects that are associated with a tenant and that are received from a plurality of data sources. The method may further include generating a set of merged data objects from the set of source data objects based on an identification of matching values from fields of the set of source data objects and selecting a value for each field of each merged data object having multiple values. The method may further include generating a mapping between primary keys associated with each merged data object and corresponding primary keys of the source data objects. The method may further include storing the merged data objects and the mappings in a first datastore and a second datastore that is different from the first datastore.

User identifier match and merge process

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Redmond, WA, United States of America

Lingyu Deng