Sap Se

Martin Weiss

Anubhav Bhatia

Patrick Brose

Lukas Carullo

Lauren McMullen

Leonard Brzezinski

Rajarshi Ghosh

Markus Krabel

Srikanth Grandhe

Yogesh Beria

Oliver Mainka

Ankit Shivhare

Emese Borbala Baliko

Daniel Huber

Sri Vidah A N

Simon Lee

Karthik Mohan Mokashi

Rashmi Shetty B

Harpreet Singh

Techniques and solutions are provided for processing data in conjunction with one or more hyperscale computing systems. An interface is provided for translating calls from an application into a format used by a hyperscale computing system. The calls can be to read data from, or write data to, a hyperscale computing system. In particular examples, data to be read or written is data from a plurality of IOT devices, where each IOT device has one or more hardware sensors. An interface can also be used to configure how the hyperscale computing system processes data, such as determining how IOT data is stored or how aggregates are generated from IOT data.

Interface for processing sensor data with hyperscale services

Techniques and solutions are provided for integrating master data from multiple applications. Master data from multiple applications can be integrated for use in processing data associated with internet of things (IOT) devices, such as by joining master data with timeseries data (including aggregated values). Integrating master data from multiple applications can include converting master data from a schema used by an application into an analytics schema. New or updated master data can be indicated in a message sent by an application. In processing the message, additional master data, or data used to determine how master data should be processed, can be retrieved.

Ingestion of master data from multiple applications

A global filter allows data filtering using attributes across multiple Analysis Tools (ATs), by broadcasting semantic filter context objects. Upon selecting object attribute values, the filter context object is created with attribute names and values. A processing engine resolves the filter context object to a data object, and then subsequently to target data. A lateral filter finds related entities in a relational database, without having to maintain and/or duplicate all of the data into a graph database. The processing engine resolves lateral filters using an entity graph path calculation conducted in conjunction with the generation of a bootstrapped graph structure. That graph structure is constructed (bootstrapped) utilizing available database schematic information&#x2014;e.g., pre-calculated (key) relations and metadata read from the relational database. From that information, relationships in the bootstrapped graph structure are determined. Possible paths between entities are used to generate an optimized SQL query to reach target data.

Data filtering utilizing broadcast context object

A data container for a content package comprising one or more semantics for populating the content package with selected types of information associated with a product or service is received by a computing device of a digital services framework. An organizational structure between and within networked tenants of the digital services framework is analyzed to identify one or more recipients for the content package. A data topology associated with the product or service is analyzed to generate announcements indicative of individualized content packages for the identified recipients for the content package. The announcements are sent to the identified recipients. Requests are received for subscriptions to the content package. Based on the analysis of the organizational structure and data topology and user-defined rules and semantics, instances of the container are selectively populating for tenants who have subscribed to the content package. The populated instances of the content package are sent to the subscribed users based on distribution data flows that are identified based at least in part on the analysis of the topological relationships and hierarchical structures.

Extraction and distribution of content packages in a digital services framework

Data filtering utilizing constructed graph structure

A selection indicative of one or more types of information associated with a product or service is received by a computing device of a digital services framework. A data container is generated for a content package comprising one or more semantics for populating the content package with the selected types of information. Based on the product or service, one or more recipients for the content package are identified. An announcement indicative of the content package is sent to the identified recipients. Requests for subscriptions to the content package identified recipients are received. Instances of the container are populated for identified recipients who have subscribed to the content package. The populating comprises populating the content package with the selected types of information based on the one or more semantics. The populated instances of the content package are sent to the subscribed recipients.

Digital services framework

Provided is a system and method for predicting leading indicators for predicting occurrence of an event at a target asset. Rather than rely on traditional manufacturer-defined leading indicators for an asset, the examples herein predict leading indicators for a target asset based on actual operating conditions at the target asset. Accordingly, unanticipated operating conditions can be considered. In one example, the method may include receiving operating data of a target resource, the operating data being associated with previous occurrences of an event at the target resource, predicting one or more leading indicators of the event at the target resource based on the received operating data, each leading indicator comprising a variable and a threshold value for the variable, and outputting information about the one or more predicted leading indicators of the target resource for display via a user interface.

Predicting leading indicators of an event

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Menlo Park, CA, United States of America

Martin Weiss