Abstract: A system, computer-implemented method, and a computer-readable storage medium for determining estimations to statistical questions. Data statistics used in evaluating estimations to statistical questions are gathered from multiple sources in a database management system. A statistical question comprising, for example, cardinality estimations is received, wherein the question is posed by different database components, such as query optimizer, or execution engine. Estimation for the statistical question is computed, where the estimation is based on multiple data statistics and without using the data referred to in the question.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing enterprise resource textual analysis. An embodiment operates by receiving a request to search a document management system for a keyword. One or more relevant documents of the document management system associated with the keyword are identified. The keyword is compared to a data dictionary corresponding to an enterprise system associated with the document management system. Contextual search results including the one or more relevant documents and a relationship between the keyword and data of the enterprise system are provided.

Abstract: Various examples are directed to systems and methods for executing a web application with client-side encryption. A web application may execute in a web browser at a client computing device. The web browser may generate a document comprising a secure display element. The web browser may request to render the document at the client computing device. A cryptographic tool of the web browser may decrypt the first encrypted value to generate a first clear value. The web browser may render the document at an output device of the client computing device using the clear value. The web browser may also be programmed to prevent the web application from accessing the first clear value.

Abstract: Update elements allow logical data object instances, and change requests therefor, to be converted from a first schema to a second schema. For logical data object instances, a transformation function can add nodes to, or remove nodes from a hierarchy of the first schema, or rearrange them. Use of the transformation function can allow second schemas to be defined that change a node hierarchy, yet can be used with existing logical data object instances in the first schema. Changes to logical data object instances can be converted using a mapping or a transformation function, such as a transformation function useable to convert logical data object instances between the first and second schemas. The migration of change requests to the second schema can allow logical data object instances having previously scheduled change requests to be updated from the first schema to the second schema prior to execution of the change request.

Abstract: Improvements to the performance of distributed database systems are described. Suggested table distributions are provided that can reduce the performance overhead associated with database operations that involve multiple nodes, and can provide more even distribution of computing resource use. A method includes minimizing a cost function that includes a plurality of performance metrics, at least a portion of the metrics being associated with a weight. Candidate table distributions can be analyzed in an iterative manner to determine a lowest-cost distribution. A final table distribution can be output, such as to a user.

Abstract: Embodiments of the present disclosure pertain to extracting data corresponding to particular data types using machine learning algorithms. In one embodiment, a method includes receiving an image in a backend system, sending the image to an optical character recognition (OCR) component, and in accordance therewith, receiving a plurality of characters recognized in the image. The character set is matched against known values to generate candidate character strings. The character set is processed by one or more machine learning algorithms to produce features. For each candidate character string, the features are then processed by a random forest model to determine a final character string.

Abstract: Disclosed herein are system, method, and computer program product embodiments for a database recovery and optimization with batch processing system. An embodiment operates by retrieving a database log that includes a plurality of operations for modifying data of a database stored across a plurality of tables. From the database log, a plurality of consecutive insert operations for inserting data into the database are identified. The consecutive insert operations are sorted by table. The sorted insert operations are grouped into a batch message. The batch message is transmit to the database for replay. An acknowledgement is received that the replay has completed.

Abstract: Techniques and solutions are described for facilitating the installation of software application extensions in a multi-tenant environment. A package for an extension may include code for a plurality of objects of the extension. Extension objects can be generated or non-generated. Generated objects can be user modifiable or not user modifiable. A software-implemented classification assistant can examine properties of the objects and classify them for deployment to a shared container or prompt a user to select whether an object should be deployed to the shared container or to a tenant-specific container. Properties of objects in the shared container may be set by the classification assistant such they are not modifiable by tenants.

Abstract: Methods and systems are disclosed for enumeration of trees in a database environment. Temporary copies of trees are stored in a database accelerator environment, for efficient access by software programs operating within the database layer. Multiple trees can be enumerated concurrently using level-by-level traversal. Nodes are assigned sortable indices through which a tree structure is maintained. Enumeration supports linking from a node of a parent tree to a child tree stored separately. Enumeration supports synthesizing child nodes in order to satisfy constraints on a parent node. Filtering and sorting are supported. The disclosed technology provides unexpectedly superior results, and can be applied in many fields. Variants are disclosed.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a message from a client device. The program further determines a language from a plurality of languages associated with the message. The program also determines a model from a plurality of models that corresponds to the determined language. Based on the determined model, the program further determines a function from a plurality of functions provided by a computing device that is associated with the message. The program also sends the computing device a request to perform the function.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a selection of a type of data to replicate from the first computing system to a second computing system. The program further receives a selection of a form in a set of forms. Each form in the set of forms is associated with a set of fields for data having the selected type of data and managed the second computing system. The program also sends the second computing system a request for the set of fields associated with the selected form. The program further generates a mapping between the set of fields associated with the selected form and a set of fields of data managed by the first computing system.

Abstract: Disclosed herein are system, method, and computer program product embodiments for robust key value extraction. In an embodiment, one or more hierarchical concepts units (HCUs) may be configured to extract key value and hierarchical information from text inputs. The HCUs may use a convolutional neural network, a recurrent neural network, and feature selectors to analyze the text inputs using machine learning techniques to extract the key value and hierarchical information. Multiple HCUs may be used together and configured to identify different categories of hierarchical information. While multiple HCUs may be used, each may use a skip connection to transmit extracted information to a feature concatenation layer. This allows an HCU to directly send a concept that has been identified as important to the feature concatenation layer and bypass other HCUs.

Abstract: Various examples are directed to systems and methods for orchestrating a first transaction workflow performed by a plurality of microservices. An orchestration service may write to a first tracking log a first log entry for a first action of the plurality of actions. The first tracking log may be stored at a persistent storage location that, for example, is accessible in the event that the orchestration service crashes. The first log entry may describe an initial state of the first action. The orchestration service may also write a second log entry for a second action of the plurality of actions to the first tracking log. The second log entry may describe an initial state of the second action. The orchestration service may determine that the first microservice successfully completed the first action and that the second microservice failed to complete the second action. The orchestration service may initiate a compensation action to reverse the first action.

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: A process for traversing or manipulating data of a data display is provided. A gesture identifier may be received indicating a display control gesture was received by a sensor. The gesture identifier may be associated with a change in one or more dimensions of the data display. Configuration data for the gesture identifier may be accessed to determine an action, and one or more parameters associated with the gesture identifier, for execution. The action may determine one or more options for traversing or manipulating the data visualization or displayed data set. The associated action may be executed using the one or more parameters. Executing the action may include generating an updated set of dimensions based at least in part on the one or more parameters, retrieving a set of database data defined by the updated dimensions, and generating a display of the retrieved set of database data.

Abstract: Technologies are described for performing automated option planning For example, option planning can comprise displaying a plurality of product segments, displaying historical performance for the plurality of product segments (e.g., indicating how many options were offered previously), receiving a change threshold value, automatically calculating an option count range for each product segment based at least in part on the change threshold value and the historical performance, automatically determining a proposed option count for each product segment (e.g., limited to its corresponding option count range), and displaying the proposed option count for each of the plurality of product segments. Sales targets can also be calculated and displayed based on the proposed option counts. Option planning can be performed within a graphical user interface.

Abstract: A method for generating a data directory can include allocating a first page for storing a first segment of a log recording changes applied to data subsequent to a checkpoint. When the first page reaches maximum capacity, a second page can be allocated for storing a second segment of the log. A third page can be allocated for storing a first page list that includes a first page reference to the second data page. A fourth page serving as a restart page can be updated. The fourth page can store a second page list of data pages storing the data directory. The fourth page can be updated to add, to the second page list, a second page reference to the data page. Crash recovery at the computing node can be performed based on the data directory. Related systems and articles of manufacture are also provided.

Abstract: Methods, systems, and computer-readable storage media for receiving a source domain data set including a set of source document and source label pairs, each source label corresponding to a source domain and indicating a sentiment attributed to a respective source document, receiving a target domain data set including a set of target documents absent target labels, processing documents of the source and target domains using a feature encoder of a DAS platform, to map the documents of the source and target domains to a shared feature space through feature representations, the processing including minimizing a distance between the feature representations of the source domain, and feature representations of the target domain based on a set of loss functions, providing an ensemble prediction from the processing, and providing predicted labels based on the ensemble prediction, the predicted labels being used by the sentiment classifier to classify documents from the target domain.

Abstract: A method includes monitoring a user login to a computer network, receiving a media access control (MAC) address associated with a logged-in user, comparing the MAC address to a table that associates the MAC address with one or more queries to which the user has access, wherein the table comprises information associated with other users who are currently logged-in to the computer network, determining whether the user and at least one of the other currently logged-in users have common access to one or more queries, identifying the user and the at least one of the other currently logged-in users determined to have common access to one or more queries as conflicting users, and restricting write or modify queries through the network for the conflicting users.

Abstract: A method for brokering an exchange of data between a backend server, a first client, and a second client is provided. The method can include receiving, from the backend server and/or the first client coupled with the backend server, a message. The response to the receipt of the message can include posting the message to a message queue having a same topic as the message. The message can be posted to the message queue at least by appending the message to a key-value pair corresponding to the message queue. The key-value pair can be stored in the distributed data storage system. The message can be sent to a second client coupled with the backend server based at least on the second client having subscribed to the topic of the message queue. Related systems and articles of manufacture, including computer program products, are also provided.