Abstract: Methods, systems, and computer-readable storage media for providing insight providers, each including a logic component and a configuration component, each logic component including a respective domain-specific model, and each configuration component including parameter values for processing data using the respective domain-specific model, receiving a set of assets including data indicative of one or more assets, retrieving asset data associated with the set of assets, the asset data including OT data and IT data, the OT data being provided from networked devices, the IT data being provided from one or more enterprise systems, processing the OT data and the IT data using respective domain-specific models of the logic components of the insight providers to provide a result set, the result set including one or more of a second set of assets and enriched data, and transmitting graphical representations for display in GUI that are respectively specific to an insight provider.

Abstract: Described herein includes a calculation scenario of a calculation engine that efficiently partitions data for processing at separate hosts, including in parallel, and unions intermediate results from such separate processing when required for further processing. Such parallel processing of partitions can allow for faster processing times, and such unioning of data only when required for further processing can limit the transferring of data that results in slower processing.

Abstract: According to some embodiments, systems and methods are provided, comprising a data uniformity framework module; a data uniformity framework processor in communication with the data uniformity framework module and operative to execute processor-executable process steps to cause the system to: receive an indication that an action event was executed at a primary application; extract one or one or more key data elements affected by the execution of the action event; log the extracted one or more key data elements in a notification log; receive a request from a secondary application for the logged data; transmit the logged data to the secondary application; and manipulate secondary application data that corresponds to the logged data to replace the secondary application data with the logged data. Numerous other aspects are provided.

Abstract: Methods and systems are disclosed for remote code execution between computing environments having various dissimilarities. Client requests at a source environment lead to calls of various types lacking immediate support within the source environment. Calls are delegated to the target environment, where function schemas, data schemas, or copies of source-side schemas are variously used to reconcile called source-side entities with their target-side counterparts. Inconsistencies between name and data representations and datatypes are also addressed. Serially communicated (JSON) parameters are resolved into required target-side multi-level parameter structures, and vice versa. Expedited bulk data access to/from a database layer is supported. A use case is described for phased migration of a software application. Generic and extensible remote code execution allows rapid migration, adaptation, or deployment of software applications across diverse computing environments.

Abstract: A visual depiction of a hierarchy stored at a server computer can be presented at a client computer that interacts with the server computer as operations are performed on the hierarchy. Efficient execution of operations and determination of which nodes are visible within the hierarchy can be supported without sending the entire hierarchy back and forth between the client and the server. Drill state in the user interface can be preserved during operations. The server can support multiple clients interacting with the hierarchy at the same time.

Abstract: Aspects of the current subject matter are directed to performing privacy-preserving analytics over sensitive data without sharing plaintext data and without requiring a trusted third party. Implementations provide for utilizing a trusted execution environment within a server to compute the privacy-preserving result. Data owners via user devices send their encrypted data directly to an enclave managed by a trusted execution environment, without the server and the cloud service provider for the server seeing the plaintext data. The enclave computes the analytics directly on the data and releases the privacy-preserving result that can be ensured by code analysis and remote attestation from all parties.

Abstract: Constraint association, constraint persistence, and constraint execution is provided herein. Constraints can be associated with one or more cells in a datacube. The constraints can be stored or persisted with the datacube or in association with the datacube. The constraints can include rules, limitations, or functions determining the set or scope of possible values for the associated cells. The constraints can be applied to the cells when first associated, or when a constraint trigger is received or performed, such as a change to the value of an associated cell. Constraint execution can cascade to additional cells not directly associated with the constraint, and can invoke additional constraints in the cascade. Constraints can include configured constraints, associated to cells by a user via a constraints menu. Constraints can include data model constraints based on a data model for the datacube. Constraints can include default constraints applied during constraint execution.

Abstract: In some implementations, there is provided a method including determining whether a topology description includes a static physical host name and a static port address; in response to determining the topology description includes the static physical host name and the static port address, converting at least the topology description into a deployment file; including, in a container, the deployment file, code, and a control script that limits pre-start database operations to a single node of a plurality of nodes of a cloud platform; and deploying, the container including the deployment file, the code, and the control script, to the cloud platform to form, at the cloud platform, the plurality of nodes including the single node. Related systems and articles of manufacture are also disclosed.

Abstract: A method, a system, and a computer program product for generating graphs using a stored procedure. One or more graph data tables are generated. A procedure having a predetermined name is generated. One or more inputs to the generated procedure includes the generated one or more graph data tables. The generated procedure includes one or more graph objects. The graph data tables are configured to be input to the graph objects. The generated procedure is stored. The stored generated procedure is executed using one or more graph data stored in a graph database.

Abstract: Techniques and solutions are described for determining, evaluating, and selecting data retrieval pathways. A plurality of database objects, such as tables, can be retrieved, and relationships between them determined. The relationships are between various attributes of the database objects. A plurality of pathways are determined between at least two target database objects, where the path determination does not consider attribute-level relationship information. After a path is determined, the relationship-level information can be added. A summary of the path, and relationship information, can be displayed to a user. A user can select paths to remove from the display, and can indicate one or more database objects that are required for a valid path, one or more database objects that are prohibited from valid paths, or combinations thereof. A user can select a path, and a query language statement to implement the path can be generated and displayed to the user.

Abstract: Provided is a system and method for pruning partitions from a database access operation based on a dependency graph. In one example, the method may include generating a dependency graph for a partition-wise operation, the dependency graph comprising nodes representing partition candidates and links between the nodes identifying dependencies of the partition candidates, receiving, at runtime, a database query comprising a partition identifier, identifying a partition candidate that can be excluded from processing the database query based on the partition identifier, pruning a second partition candidate based on a dependency in the dependency graph between the excluded partition candidate and the second partition candidate, and performing a database access for the database query based on the pruning.

Abstract: Machine learning model data privacy can be maintained by training a machine learning model forming part of a data science process using data anonymized using each of two or more differential privacy mechanisms. Thereafter, it is determined, for each of the two or more differential privacy mechanisms, a level of accuracy and a level precision when evaluating data with known classifications. Subsequently, using the respective determined levels of precision and accuracy, a mitigation efficiency ratio is determined for each of the two or more differential privacy mechanisms. The differential privacy mechanism having a highest mitigation efficiency ratio is then incorporated into the data science process. Related apparatus, systems, techniques and articles are also described.

Abstract: An engine interposed between an application translator and UI intercepts string templates populated with string variables and output by the translator. The engine determines translation-resistance of the string template. Such determination can be based upon an existing mark inserted by the translator, a number of string variables in the string template, a comment in the string template, user settings, or syntax rules. Frequently, translation-resistance of the string template is not indicated and the engine simply forwards on the string template to the user. Less frequently, the engine determines the string template to be resistant to translation. Then, the engine causes the string template to be processed according to a prefix and a suffix inserted thereto. The processing can comprise forwarding the string template for machine translation, and/or falling back to a simpler string variant. The modified content resulting from the processing is communicated by the engine to the user.

Abstract: Methods, systems, and computer-readable storage media for receiving, from a first component and by a second component in a cloud platform, a call, a token, and a first client certificate, determining, by the second component, a first client identifier associated with the first component, and determining, by the second component, that the first client identifier is included in a manifest of the token, the manifest defining at least a portion of a communication path between components within the cloud platform, and in response: executing functionality responsive to the call.

Abstract: A value help library includes a configuration component to store value help configuration data associated with user interface fields of an application, the value help configuration data comprising a data source and a key associated with each of the user interface fields, a data exchange component to receive value help data for a user interface field based on the data source and the key associated with the user interface field, and a value help provider component to receive a request from an application for value help data associated with a user interface field of the application and to provide the requested value help data to the application.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in-memory storage or in dynamic storage of a database management system. The dynamic storage includes an in-memory buffer cache and persistent storage. The logical pointer can be updated to point to the in-memory storage or the dynamic storage, including based on use statistics. Similarly, a table having data for the virtual table can be transitioned between the in-memory buffer cache and the persistent storage, including based on use statistics for the virtual table. A value for the logical pointer can be updated when the table is transferred between the in-memory buffer cache and the dynamic storage.

Abstract: Disclosed herein are system, method, and computer program product embodiments for digitally customizing a product. An embodiment operates by the system generating a three-dimensional model of a portion of a body comprising a custom segment. The system then correlates the custom segment of the three-dimensional body to a corresponding segment of a three-dimensional model of the product using a correlation model unique to the product. The corresponding segment of the three-dimensional model of the product corresponding to a product metric for manufacturing the product. Subsequently, the system determines a difference between the custom segment of the three-dimensional model of the portion of the body and the corresponding segment of the three-dimensional model of the product is. Based on the difference, the system determines an adjusted metric for manufacturing the product. Subsequently, based on the adjusted product metric, the system updates the correlation model unique to the product.

Abstract: A query is received that requests issues relevant to a user. Thereafter, a plurality of issues responsive to the query are retrieved. The retrieved issues are ranked using a first machine learning model to result in a first subset of the retrieved issues. The first subset of the retrieved issues are then ranked using a second, different machine learning model to result in a second subset of the retrieved issues which are a subset of the first subset of the retrieved issues. Data can then be provided which is responsive the query and includes at least a portion of the second subset of the retrieved issues. Related apparatus, systems, techniques and articles are also described.

Abstract: A system and method to receive, by a database service from an encryption service of a database provider in a cloud environment, an encryption key passphrase stored in a secure storage separate and distinct from a database persistence and object store of the database service, the encryption key passphrase used as a key to encrypt and decrypt a key storage of the database service that stores one or more keys used by the database service; and to use the encryption key passphrase by a recovery service of the database provider in the cloud environment to recover the database service and its associated key storage.

Abstract: A system for shutting down a process of a database is provided. In some aspects, the system performs operations including tracking, during startup of a process, code locations of a process in the at least one memory. The operations may further include tracking, during runtime of the process and in response to the tracking the code locations, memory segments of the at least one memory allocated to the process. The operations may further include receiving an indication for a shutdown of a process. The operations may further include waking, in response to the indication, at least one processing thread of a plurality of processing threads allocated to a database system. The operations may further include allocating a list of memory mappings to the plurality of processing threads. The operations may further include freeing, by the first processing thread, the physical memory assigned to the processing thread by the memory mappings.