Adobe, Inc.

Sap Se

Shefali Srivastava

Rishika Karira

Simran Aggarwal

Saurabh Goyal

Manish Saraswat

Bert Schulze

In some implementations, there is provided a method that includes monitoring, by an application uptime system, whether execution of an application is successful without causing an incident; in response to the execution of the application being unsuccessful and causing the incident, the method further comprising: collecting one or more end user incident reports including an incident identifier, a start time of the incident, and a stop time of the incident, collecting one or more development system incident reports linked to the one or more end user incident reports, determining at least one end user metric for the application, generating one or more user interface views based on the at least one end user metric for the application, and causing to be presented the one or more user interface views. Related systems, methods, and articles of manufacture are also disclosed.

Application uptime calculation in hosted environment

Automatically mapping unlabeled input data onto a target schema via semantic type detection is described. The input data includes data elements that are structured as 2D table rows and columns forming cells. Each data element is included in a cell. The target schema includes a set of fields. Schema mapping includes mapping each column to one or more fields. More particularly, the fields are clustered into field clusters, where each field cluster includes one or more of the fields. Each column is automatically mapped to one of the field clusters of the set of field clusters. The mapping between schema fields and data columns is automatically performed based on appropriate pairings of the detected semantic types, where the semantic types are encoded in vector representations of the fields, the field clusters, and the data elements.

Mapping of unlabeled data onto a target schema via semantic type detection

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Delhi, India

Shefali Srivastava