Abstract: A computer-implemented method, system and computer program product for improving accuracy and efficiency of auditing databases. A table, list or index of a database is analyzed to identify metadata, which includes time series data, user data, an Internet Protocol address and operation data. The identified metadata is associated with the corresponding record or row of the table, list or index from which the metadata was extracted. A determination is then made as to whether to record a raw data image associated with the record or row of the analyzed table, list or index based on the corresponding data operation. The identified metadata as well as the recorded data images, if any, are stored in a structured audit log. Auditing information is then obtained from a structured audit log based on matching the record or row identifier (RID) associated with the query with the RID associated with the structured audit log.

Abstract: Rendering digital twin include receiving metrics associated with a physical entity, the metrics received using an established real-time data synchronization protocol. The received metrics is analyzed. Based on the analysis of the received metrics, digital twin corresponding to the physical entity is updated, the digital twin being a virtual representation of the physical entity.

Abstract: A computer-implemented method, according to one embodiment, includes creating a two-dimensional (2D) barcode that includes four perimeter sides. An array of a plurality of squares are included within the four perimeter sides. At least a first of the squares includes a first portion defined by a first diagonal line within the first square, a second portion defined by the first diagonal line, and a third portion defined by a first shape within the second portion. A computer program product, according to another embodiment, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method. A system, according to another embodiment, includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

Abstract: A method, system, and computer program product for dynamic cue generation for language learning are provided. The method identifies one or more listener actions for a listener engaged in listening learning. Based on the one or more listener actions, a language level of the listener is determined. A set of prompt metrics are generated based on the language level and the one or more listener actions. A set of audio stream levels is generated based on the set of prompt metrics. The method selects an audio stream level for a listening prompt, where the audio stream level is selected from the set of audio stream levels based on the language level of the listener.

Abstract: A computer-implemented method, a system, and a computer program product for service delivery are disclosed. In the method, a static analysis can be performed on a plurality of services to be deployed in an environment comprising a plurality of nodes, to determine dependency relationships among the plurality of services. The plurality of services can be deployed in the environment based on the dependency relationships, a predefined priority for each of the plurality of services, and deployment time for each of the plurality of services. Also, the plurality of services can be scheduled into corresponding nodes in the environment.

Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for comparison of database data. According to the method, a first tree structure corresponding to first data segments of first database data and a second tree structure corresponding to second data segments of second database data are at least partially obtained. Each node of the first or second tree structure indicating a characteristic value of at least one of the first or second data segments, and nodes of the first or second tree structure are divided into a first or second plurality of branches from a first or second root node based on update frequencies of the first or second data segments. A difference between the first data segments and the second data segments is determined by at least comparing characteristic values indicated by nodes in the obtained parts of the first and second tree structures.

Abstract: A snapshot request for a selected database is obtained by a computing device of a computing environment. Based on obtaining the snapshot request, a snapshot of the selected database is taken. Based on taking the snapshot, a snapshot identifier is recorded in metadata of the selected database. The snapshot identifier identifies the snapshot request.

Abstract: Methods that provide dynamic index management for a set of computing storage resources are disclosed herein. One method includes collecting, by a processor, a set of current performance data for a set of storage resources storing data and implementing a set of indexes for the data stored on the set of storage resources based on an optimized performance predicted for the set of storage resources based on the collected set of current performance data and a set of predicted performance data that identifies the set of indexes. Also disclosed herein are apparatus, systems, and computer program products that can include, perform, and/or implement the methods for providing dynamic index management for a set of computing storage resources.

Abstract: A set of tasks is extracted from workflow data of a system. A set of keywords is extracted from a task in the set of tasks. The set of keywords is expanded into an expanded set of keywords, the expanded set of keywords comprising a new keyword with a semantic relationship to a keyword in the set of keywords. A new task is generated using the expanded set of keywords. Based on a result of execution of the new task, a model of the system is adjusted, the model comprising the workflow data, the set of tasks, and the expanded set of keywords.

Abstract: A snapshot request for a selected database is obtained by a computing device of a computing environment. Based on obtaining the snapshot request, a snapshot of the selected database is taken. Based on taking the snapshot, a snapshot identifier is recorded in metadata of the selected database. The snapshot identifier identifies the snapshot request.

Abstract: An example operation may include one or more of storing an index that comprises identifiers of role-based access privileges for a plurality of users with respect to a database, receiving a database query associated with a user from a software program, identifying data records within the database that the user has permission to access based on database accessibility rights of the user stored within the index, prior to execution of the database query, loading the identified data records into the memory and filtering out other data records from the database which the user does not have permission to access, and executing the database query on the identified data records loaded from the database and returning query results from the execution to the software program.

Abstract: A method of managing an active-active database system storing a first copy of data records at a first node a second copy of the data records at a second node includes receiving a first set of operations stored at the first node as a first set of local operations, a copy of the first set of operations transmitted to the second node and stored as a first set of remote operations, and receiving a second set of operations stored at the second node as a second set of local operations, a copy of the second set of operations transmitted to the first node and stored as a second set of remote operations. The method includes determining a comparison point by selecting an operation from each of the first set of operations and the second set of operations, and comparing the first copy of the data records to the second copy.

Abstract: An example operation may include one or more of storing an index that comprises identifiers of role-based access privileges for a plurality of users with respect to a database, receiving a database query associated with a user from a software program, identifying data records within the database that the user has permission to access based on database accessibility rights of the user stored within the index, prior to execution of the database query, loading the identified data records into the memory and filtering out other data records from the database which the user does not have permission to access, and executing the database query on the identified data records loaded from the database and returning query results from the execution to the software program.

Abstract: A method, computer system, and a computer program product for data compression is provided. The present invention may include receiving operational data. The present invention may include profiling the operational data using one or more normalizing functions. The present invention may include extracting a plurality of patterns from the operational data. The present invention may include compressing the operational data based on the plurality of patterns extracted.

Abstract: Mechanisms are provided for scheduling a workload in a cloud computing system. A cloud affinity factor (CAF) computer model is trained, via a machine learning process based on a training dataset comprising static characteristics of a workload binary for a workload, and dynamic characteristics corresponding to historical performance data for the workload, such that the trained CAF computer model predicts a performance classification for a given workload binary. The trained CAF computer model processes a new workload to generate a performance classification for the new workload. Cloud affinity factor(s) are generated based on the performance classification for the new workload. Node affinity and dispatch rule(s) are applied to the cloud affinity factor(s) to select one or more nodes of the cloud computing system to which to dispatch the workload. The workload is then scheduled on the selected one or more nodes.

Abstract: Aspects of the invention include includes detecting a change in a code section of a source code in relation to a reference code section. An incremental section is created in object code, the incremental section includes an object code section describing the change in the code section and a symbol section describing a change to a symbol associated with the changed code section. The incremental section is attached to a software update. The software update to a target computer system.

Abstract: Database log writing is based on log pipeline contention. A determination is made as to whether contention in writing data to a log pipeline, which is used in writing data from memory to storage, is at a prespecified level. Based on determining that the contention in writing the data to the log pipeline is at the prespecified level, a split operation is automatically performed to create a new log pipeline.

Abstract: A computer-implemented method, system and computer program product for improving accuracy and efficiency of auditing databases. A table, list or index of a database is analyzed to identify metadata, which includes time series data, user data, an Internet Protocol address and operation data. The identified metadata is associated with the corresponding record or row of the table, list or index from which the metadata was extracted. A determination is then made as to whether to record a raw data image associated with the record or row of the analyzed table, list or index based on the corresponding data operation. The identified metadata as well as the recorded data images, if any, are stored in a structured audit log. Auditing information is then obtained from a structured audit log based on matching the record or row identifier (RID) associated with the query with the RID associated with the structured audit log.

Abstract: A method, system, and computer program product for dynamic cue generation for language learning are provided. The method identifies one or more listener actions for a listener engaged in listening learning. Based on the one or more listener actions, a language level of the listener is determined. A set of prompt metrics are generated based on the language level and the one or more listener actions. A set of audio stream levels is generated based on the set of prompt metrics. The method selects an audio stream level for a listening prompt, where the audio stream level is selected from the set of audio stream levels based on the language level of the listener.

Abstract: Examples described herein provide a computer-implemented method for multi-user debugging of a program. The method includes receiving a first request from a first developer to initiate a debug of the program and receiving a second request from a second developer to initiate the debug of the program. The method further includes, responsive to receiving the first request and the second request, initiating the debug of the program. The method further includes sending first source code for the program to the first developer, wherein the first source code is associated with the first developer. The method further includes sending second source code for the program to the second developer, wherein the second source code is associated with the second developer. The method further includes updating the program responsive to receiving a change to at least one of the first source code or the second source code.