公开(公告)号：US20250068643A1

公开(公告)日：2025-02-27

申请号：US18942337

申请日：2024-11-08

Applicant: Salesforce, Inc.

Inventor： Keith Kelly ,  Ravishankar ARIVAZHAGAN ,  Wenwen LIAO ,  Zhongtang CAI ,  Ali SAKR

IPC: G06F16/25 ,  G06F16/28 ,  G06N5/04

Abstract: A computer system monitors for a change in a first data output generated by execution of a predefined dataflow. In accordance with a determination that the first data output has changed and the first data output meets triggering criteria, the computer system triggers execution of a predefined second dataflow distinct from the first dataflow. The execution of the second dataflow is dependent on the change in the first data output generated by the first dataflow. In accordance with a determination that the first data output has changed and the first data output does not meet triggering criteria, the computer system forgoes triggering execution of the second data flow. In accordance with a determination that the first data output has not changed, the computer system forgoes triggering execution of the second dataflow.

公开(公告)号：US11741100B2

公开(公告)日：2023-08-29

申请号：US17220589

申请日：2021-04-01

Applicant: Salesforce, Inc.

Inventor： Donovan Schneider ,  Keith Kelly ,  Nicholas Albert Bugajski

IPC: G06F16/20 ,  G06F16/2453 ,  G06F16/25 ,  G06F16/22 ,  G06F16/242 ,  G06F16/9535

CPC classification number: G06F16/24542 ,  G06F16/2228 ,  G06F16/2428 ,  G06F16/258 ,  G06F16/9535

Abstract: Methods, systems, and devices for providing matching security between data stores are described. In a database system, an operational data store may store transactional datasets and an analytical data store may store analytics datasets generated based on the transactional datasets. For these analytics datasets to efficiently inherit the security configurations of the transactional datasets, security information may be embedded in datasets retrieved from the operational data store during a data acquisition procedure. This security information may be converted into an embedded multiple-value field for storage in the analytical data store. The analytical data store may receive a query for data in a dataset, and may determine security descriptors associated with the user sending the query. The analytical data store may then filter the data based on comparing these determined security descriptors with the security information in the multiple-value field, and may transmit a query response with the filtered data.

公开(公告)号：US12141159B2

公开(公告)日：2024-11-12

申请号：US18139223

申请日：2023-04-25

Applicant: Salesforce, Inc.

Inventor： Keith Kelly ,  Ravishankar Arivazhagan ,  Wenwen Liao ,  Zhongtang Cai ,  Ali Sakr

IPC: G06F16/25 ,  G06F16/28 ,  G06N5/04

Abstract: Database environments may choose to schedule complex analytics processing to be performed by specialized processing environments by caching source datasets or other data needed for the analytics and then outputting results back to customer datasets. It is complex to schedule user database operations, such as running dataflows, recipes, scripts, rules, or the like that may rely on output from the analytics, if the user database operations are on one schedule, while the analytics is on another schedule. User/source datasets may become out of sync and one or both environments may operate on stale data. One way to resolve this problem is to define triggers that, for example, monitor for changes to datasets (or other items of interest) by analytics or other activity and automatically run dataflows, recipes, or the like that are related to the changed datasets (or other items of interest).

公开(公告)号：US20230306039A1

公开(公告)日：2023-09-28

申请号：US18139223

申请日：2023-04-25

Applicant: Salesforce Inc.

Inventor： Keith Kelly ,  Ravishankar ARIVAZHAGAN ,  Wenwen LIAO ,  Zhongtang CAI ,  Ali SAKR

IPC: G06F16/28 ,  G06N5/04 ,  G06F16/25

CPC classification number: G06F16/254 ,  G06F16/284 ,  G06N5/04

Abstract: Database environments may choose to schedule complex analytics processing to be performed by specialized processing environments by caching source datasets or other data needed for the analytics and then outputting results back to customer datasets. It is complex to schedule user database operations, such as running dataflows, recipes, scripts, rules, or the like that may rely on output from the analytics, if the user database operations are on one schedule, while the analytics is on another schedule, User / source datasets may become out of sync and one or both environments may operate on stale data. One way to resolve this problem is to define triggers that, for example, monitor for changes to datasets (or other items of interest) by analytics or other activity and automatically run dataflows, recipes, or the like that are related to the changed datasets (or other items of interest),