Salesforce Com, Inc.

Birva Joshi

Yogesh Patel

Shan-Cheng Ho

Percy Dara Mehta

Mattia Padovani

Mugdha Choudhari

Shaahin Mehdinezhad Rushan

Mahalaxmi Sanathkumar

Anjani Gupta

Johannes Kienzle

Bharath Kumar Pareek

Priya Sethuraman

Clinton Tran

Aaron Zhang

Wing Hing Ku

Amarjit Singh

Pohsuen Kuo

Lucas Ung

John M Whelan, Iii

A method of syncing data across multiple systems includes: receiving a plurality of calendar events from a plurality of independent calendar systems that use different calendar system specific schemas; aggregating the calendar events at a unifying communication system; converting the calendar events from a calendar system specific schema to a unifying communication system specific schema; storing the plurality of calendar events in the unifying communication system specific schema; converting a calendar event received from a non-master calendar system to the master calendar system specific schema; and sending the converted calendar event to the master calendar system; wherein copies of the received calendar events that are formatted according to the calendar system specific schema of the master calendar system are stored with the master calendar system, and copies of the calendar events that are formatted according to the unifying communication system specific schema are stored with the unifying communication system.

System and method for augmenting synced data across multiple systems to facilitate data cleansing

A method and system manage synchronization of data streams in a multi-tenant system. The method includes tracking by a flow control mechanism a recent flow rate of at least one data stream, determining by the flow control mechanism whether the flow rate of the at least one data stream varies from at least one related data stream, and adjusting by the flow control mechanism a throughput of the at least one data stream to correlate with the at least one related data stream, in response to determining that the at least one data stream has varied from the at least one related data stream.

Mechanism to synchronize, control, and merge data streams of disparate flow characteristics

Provided are systems and methods for verifying, in a database system, that a modification request to events data is completed. The method marks a modification request as verifying and implements a search strategy to search for unmodified events data (the stragglers) in the least expensive query scope first and then keep expanding the scope of the query until at least one unmodified events data is found (a straggler), which is marked as a fail. This strategy includes (i) beginning at a lowest scope search, (ii) searching a (database first: continuing to expand the search scope as high as it can go without a fail, and (iii) only when it's finished searching the database without a fail, searching a search engine in the same way. When the searches are done, and no fails have been marked, the method marks the request as done.

Systems and methods for verifying performance of a modification request in a database system

Techniques are disclosed for generating metrics for a stream of interaction data. In some embodiments, a computing system receives a stream of interaction data that is based on user interactions with one or more computing systems, where the stream of interaction data includes information for multiple interaction characteristics including an interaction category. In response to receiving additional interaction information in the stream of interaction data, the computing system may generate cumulative metric values for one or more interaction categories. Generating cumulative metric values may include: sharding the additional interaction information based on multiple characteristics including interaction category, storing the sharded information in a non-relational database, determining respective metric values for shards modified by the storing, storing the respective metric values and shard information for each of the modified shards in a relational database, querying the relational database using one or more interaction categories corresponding to the modified shards, and determining the cumulative metric values based on the results of the querying.

Metric determination for an interaction data stream using multiple databases

Methods for tracking and managing a device that connects to a database system, including connecting to a web application at least partially running on the database system, are disclosed. In some embodiments, the device may be identified by a fingerprint or unique device identifier (ID) formed from various vectors that correspond to device specific attributes or characteristics. The fingerprint or unique device ID may be compared to a fingerprint or device ID stored on the database system associated with a user's access credentials to determine a match percentage. Further access by the device to the database system may depend upon whether the match percentage exceeds a predetermined threshold. Device access to the database system may be tied to the fingerprint or unique device ID.

Device fingerprinting, tracking, and management

Growing community of inventors

Sunnyvale, CA, United States of America

Birva Joshi