Cohesity, Inc.

Intuit, Inc.

Sudhir Srinivas

Anubhav Gupta

Kevin Geraghty

Nagapramod S Mandagere

Apurv Gupta

Karandeep Singh Chawla

Subramanian Sethumadhavan

Mahesh Kumar

Sidharth Mishra

Prashant Gaurav

Samual Krish Ravichandran

Suresh Bysani Venkata Naga

Woojae Lee

Akshit Poddar

Certain aspects of the present disclosure provide techniques for interacting with a graph database structure. In one embodiment, a method includes receiving, at an application, information regarding a first entity; transmitting, to a graph database, a query regarding the first entity; receiving, at the application, query results based on one or more relationships between the first entity and other entities in the graph database; making, by the application, an inference based on the query results; modifying, by the application, a user interface of the application based on the inference by displaying at least one user interface element suggesting a selection of an application option; and receiving, by the application, a user selection of the suggested application option.

Graph database applications

An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.

Malicious software detection

Certain aspects of the present disclosure provide techniques for generating a unified knowledge graph. In one example, a method includes receiving entity data from a data source comprising a plurality of entities; forming a plurality of type-specific groups of entity data based on the received entity data; for each respective type-specific group of entity data of the plurality of type-specific groups of entity data; disambiguating the entity data within the respective type-specific group of entity data; creating a plurality of entity relationships based on the disambiguated entity data; and exporting the plurality of entity relationships to a type-specific subgraph; and forming a unified knowledge graph based on a plurality of type-specific subgraphs, wherein each type-specific subgraph of the plurality of type-specific subgraphs is associated with a single type-specific group of entity data of the plurality of type-specific groups of entity data.

Unified knowledge graphs

Cluster state information is generated in response to a request to establish a connection with a cloud service system. The cluster state information includes a first instance of a security token and host information. The cluster state information is provided to a web browser associated with a user. The web browser associated with the user is redirected to a cloud identity provider. The cloud identity provider is configured to provide to the cloud service system via the web browser associated with the user, the cluster state information that includes the first instance of the security token and the host information. A certificate is requested from the cloud service system. The cluster state information that includes a second instance of the security token is provided to the cloud service system. The cloud service system is configured to establish the connection based on comparison between the first instance of the security token and the second instance of the security token. The established connection enables the user to manage a secondary storage system via the cloud service system.

Cluster claim

Certain aspects provide techniques for disambiguating graph data. In one example, a method includes receiving entity data from a data source in a first format; converting the entity data in the first format to a second format, wherein the second format is a standardized input format for a disambiguation pipeline; determining a blocked data set from the entity data in the second format based on a blocking parameter, wherein: the blocked data set comprises data regarding a first plurality of entities, and the first plurality of entities is a subset of a second plurality of entities represented in the entity data from the data source; matching at least two entities in the first plurality of entities in the blocked data set; merging the at least two entities into a single entity; generating a unique ID for the single entity; and importing the single entity into a graph database.

Disambiguation of massive graph databases

An identifier associated with a persistent connection virtualization container corresponding to a specified secondary storage system identifier associated with a secondary storage system is requested from a caching service virtualization container. The identifier associated with the persistent connection virtualization container corresponding to the specified secondary storage system identifier is received. One or more commands are provided to the persistent connection virtualization container associated with the secondary storage system.

Utilizing virtualization containers to access a remote secondary storage system

A first persistent connection pipe is established from a node of a secondary storage system to an access service associated with a cloud service system. A second persistent connection pipe is established from the node of the secondary storage system to the access service. A communication direction role of the second persistent connection pipe is switched to enable the access service to initiate a communication to the node of the secondary storage system via the second persistent pipe.

Establishing a persistent connection with a remote secondary storage system

Cluster state information is generated in response to a request to establish a connection with a cloud service system. The cluster state information includes a first instance of a security token and host information. The cluster state information is provided to a web browser associated with a user. The web browser associated with the user is redirected to a cloud identity provider. The cloud identity provider is configured to provide to the cloud service system via the web browser associated with the user, the cluster state information that includes the first instance of the security token and the host information. A certificate is requested from the cloud service system. The cluster state information that includes a second instance of the security token is provided to the cloud service system. The cloud service system is configured to establish the connection based on a comparison between the first instance of the security token and the second instance of the security token. The established connection enables the user to manage a secondary storage system via the cloud service system.

Growing community of inventors

Cary, NC, United States of America

Sudhir Srinivas