USER SPECIFIC EVENT THREADING
    11.
    发明申请

    公开(公告)号:US20210149720A1

    公开(公告)日:2021-05-20

    申请号:US16801965

    申请日:2020-02-26

    Abstract: The techniques may include maintaining a thread of events for a plurality of users, where each element of the thread corresponds to an event/activity and includes at least a next field that includes a first subset of the plurality of users and a previous field that includes a second subset of the plurality of users. These techniques may allow new events to be quickly added and prior elements may be updated to reflect the addition. Further, the thread elements may allow the thread to be quickly traversed to identify queried information such that the information may be displayed to a user.

    Methods and systems for organization extensibility and cluster scalability

    公开(公告)号:US11475049B2

    公开(公告)日:2022-10-18

    申请号:US16779160

    申请日:2020-01-31

    Abstract: A computer-implemented method is disclosed. The method includes determining whether a level of resource utilization of an organization having a first index and a first cluster requires that the organization is assigned to a second cluster, if the level of resource utilization requires that the organization is assigned to the second cluster, creating a second index for the organization in the second cluster, adding a consul entry in a consul that points to the second index, and upon completion of a data migration operation, changing an entry of the cluster routing controller for the organization, from the first index to the second index. A connection is established using the consul entry.

    SYSTEM AND METHOD FOR AUGMENTING SYNCED DATA ACROSS MULTIPLE SYSTEMS TO FACILITATE DATA CLEANSING

    公开(公告)号:US20220245170A1

    公开(公告)日:2022-08-04

    申请号:US17248574

    申请日:2021-01-29

    Abstract: 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.

    Metric determination for an interaction data stream using multiple databases

    公开(公告)号:US11138204B2

    公开(公告)日:2021-10-05

    申请号:US16530680

    申请日:2019-08-02

    Abstract: 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

    公开(公告)号:US20210034627A1

    公开(公告)日:2021-02-04

    申请号:US16530680

    申请日:2019-08-02

    Abstract: 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.

    Asynchronous deletion in non-relational databases

    公开(公告)号:US10762109B2

    公开(公告)日:2020-09-01

    申请号:US16047738

    申请日:2018-07-27

    Abstract: Methods, systems, and devices for asynchronous deletion at a non-relational database are described. The non-relational database may store a set of data object associations. The non-relational database may receive a read request indicating a first data object identifier. Based on the first data object identifier indicated in the read request, the non-relational database may identify a second data object identifier according to a first data object association of the stored set of data object associations that is indexed in the non-relational database with the first data object identifier. The non-relational database may determine that a last data entry that is indexed in the non-relational database with the identified second data object identifier and is associated with the first data object identifier has been deleted from the non-relational database. The non-relational database may delete the first data object association from the non-relational database.

    ASYNCHRONOUS DELETION IN NON-RELATIONAL DATABASES

    公开(公告)号:US20200034473A1

    公开(公告)日:2020-01-30

    申请号:US16047738

    申请日:2018-07-27

    Abstract: Methods, systems, and devices for asynchronous deletion at a non-relational database are described. The non-relational database may store a set of data object associations. The non-relational database may receive a read request indicating a first data object identifier. Based on the first data object identifier indicated in the read request, the non-relational database may identify a second data object identifier according to a first data object association of the stored set of data object associations that is indexed in the non-relational database with the first data object identifier. The non-relational database may determine that a last data entry that is indexed in the non-relational database with the identified second data object identifier and is associated with the first data object identifier has been deleted from the non-relational database. The non-relational database may delete the first data object association from the non-relational database.

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