Fortinet, Inc.

Ross T Bunker

Yijou Chen

Úlfar Erlingsson

Ashwin Jayaprakash

Julien Sobrier

Jean-philippe E Martin

Helgi K Sigurbjarnarson

Ankita Bhargava

Neil B Vachharajani

Amey Sakhadeo

An illustrative method for querying multiple datasets may include generating, based on models each associated with and defining attributes of a different datasets stored in a plurality of data stores, a semantic layer defining relationships between the models and that provides a centralized application programming interface (API) for exposing the datasets by way of a common query language, receiving, by way of the centralized API, a query request for information that depends on data included in multiple datasets included in the plurality of datasets, querying, based on the query request and the relationships between the models defined by the semantic layer, the multiple datasets, and presenting, based on the querying, a query result representative of the information that depends on the data included in the multiple datasets.

Semantic layer for data platform

Activity monitoring of a cloud compute environment based on container orchestration data may be performed by a data platform. For example, the data platform may obtain audit log data generated by a container orchestrator within a cloud compute environment, generate a data model based on the audit log data, and use the data model to monitor the activity for a security issue. The data model may be indicative of activity occurring with respect to one or more containerized applications executing within the cloud compute environment and the monitored activity may be activity with respect to the one or more containerized applications. Corresponding methods, systems, and products are also disclosed.

Activity monitoring of a cloud compute environment based on container orchestration data

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Seattle, WA, United States of America

Ross T Bunker