Abstract: Some examples of the present disclosure relate to container-image replication. One example includes a computing device that can generate a container image. The container image can include metadata that is consumable by a container engine for deploying a container with settings specified in the metadata. The computing device can also generate provenance data indicating at least one aspect related to the generation of the container image. The computing device can modify the metadata in the container image to include an indicator of the provenance data. The computing device can then store the container image and the provenance data in one or more repositories accessible to a client device. This may enable the client device to reproduce the container image at a future point in time.

Abstract: A system and method for structuring search results for attribute comparison are presented. A product selection from a user device is received. The product selection has a plurality of attributes associated with it. A plurality of adjustable sliders configured to allow the user to refine a search is generated and caused to be displayed in a user interface of the user device. One or more adjustments of the plurality of adjustable sliders is received. In response to the user to an adjustment made to a first adjustable slider of the plurality of adjustable sliders, an analysis of a networked database for search results that match values indicated by the plurality of adjustable sliders including the adjustment made to the first adjustable slider is performed. The search results are caused to be presented on the user interface displayed on the user device.

Abstract: Online reordering for database table columns may allow a user to reorder the columns of a database table without taking the database offline. A mapping between different column orders for a database table may be generated and stored in response to a request to reorder columns in a database table. When a portion of the database table is accessed, the columns of the database table in the accessed portion of the database table may be reordered to perform the access request.

Abstract: Systems, apparatuses, and methods for automated data aggregation. In some embodiments, this is achieved by use of techniques such as natural language processing (NLP) and machine learning to enable the automation of data aggregation from websites without the use of pre-programmed scripts.

Abstract: A learning device sets each search range that is a part of a graph in which a plurality of nodes are connected by a plurality of edges, for each start node of one or more start nodes in the graph, on the basis of a set problem and relevance of an attribute of each of one or more nodes or edges connected to the each start node, generates an evaluation value of each of the one or more nodes and edges included in the each search range on the basis of a learning result by a learning model of the set problem, updates the one or more nodes and edges of the each search range on the basis of the evaluation value corresponding to the each search range and the relevance of the attribute corresponding to the each search range and the set problem, and performs a search.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating an identity resolution model from a ground truth data set to accurately match users across one or more digital content providers to perform analyses of user activities across the one or more digital content providers. For example, the systems described herein can generate a ground truth data set of known users and utilize the ground truth data set to generate an identity resolution model for one or more digital content providers based on predicted user identities. Furthermore, in one or more embodiments, the systems utilize the identity resolution model to accurately resolve and match user identities between one or more digital content providers and assign universal identifiers to the user identities. Moreover, the disclosed systems can utilize the universal identifiers to provide analytical insights of user actions between the one or more digital content providers.

Abstract: A hybrid file system provides access to files based on metadata-defined paths, user-defined paths, and/or hybrid metadata-defined paths. A metadata-defined path may be defined based on file metadata, and may provide access to files that are tagged with the same metadata that is used to specify the metadata-defined path. Some of the same files may be alternatively accessed using user-defined paths that provide access to the directories where the files are stored. Some of the same files may be alternatively accessed using a hybrid metadata-user-defined path that appends a directory structure to the metadata-defined path in order to provide direct access to a subset of files from the metadata-defined path that are placed into the metadata-user-defined path without accessing other files from the metadata-defined path.

Abstract: Techniques are described for closing one or more connections with a database management system (DBMS) as part of a planned operation such as maintenance and load balancing. In an embodiment, a request is received for a planned operation of a database server of a DBMS that requires releasing and migrating database sessions. Over a database connection with the database server, the DBMS or a Client-Driver on the client system that interfaces with the DBMS, may receive request(s) from the client system. Based on the request(s), a safe point, for the database connection with the database server, at which the database connection of the client system with the database server can be closed without affecting the success of execution of next one or more command that the client system intended to request the DBMS to execute on the database server, is determined.

Abstract: Implementations can include actions of, prior to executing a transport between a first and a second database system, receiving a set of records, and, for a first record: identifying a first table of the first database system that the first record is stored in, and determining that the first table is associated with a set of foreign key constraints (FKCs), and, for each FKC: determining that a referenced record exists based on a FKC, the FKC relating the first record in the first table to the referenced record in a second table, and selectively adding the referenced record to a list of the transport to maintain validity of the FKC within the second database system after execution of the transport, and providing the transport including the list, the transport being executable in the second database system to one or more of add records and delete records.

Abstract: Dynamic selection of data sources for streaming dynamic data is described. A data streaming service receives a dynamic selection of a data source after the data streaming service begins executing, the dynamic selection of the data source including an identifier of a host of a multi-tenant database and an identifier of a tenant of multiple tenants storing data in the multi-tenant database. The data streaming service streams dynamic data from the data source to a data destination.

Abstract: Database systems and techniques are disclosed for accessing data stores of digital medical images, processing the digital images, and displaying the digital images to efficiently provide information in an interactive user interface. The disclosure may advantageously provide efficient and rapid dynamic interaction with digital images accessed from one or more databases to enable user detection of differences between related digital images. Interactive user interfaces may be dynamically updated to provide rapid comparison of digital images. Further, digital images from multiple data sources may be automatically sorted by the system according to attributes associated with the images and rules and/or preferences of the user. In an embodiment the user may select a digital image from a first data source, and the system automatically determines and displays one or more comparison images from other image data sources.

Abstract: Content management server receives requests for geographically restricted domains and generates unique registrant identifiers responsive to the request based on the physical geographic location of the registrant and a related proximity condition. Each of the unique registrant identifiers identifying a registrant content server, and each of the registrant content servers storing content associated with the corresponding unique registrant identifier. The content management server receives queries from user devices, and the queries indicate a geographic location. The content management server identifies geographically relevant registrant content servers based on associated unique registrant identifiers relative to satisfied proximity conditions. The registrant content servers may communicate geographically relevant content objects to user devices.

Abstract: A system for an in-memory row storage architecture can be provided. In some implementations, the system performs operations including processing a database statement comprising a first database transaction affecting one or more rows in an in-memory row store, registering the database statement at a start of execution of the database statement, the start of execution occurring at a first time, unregistering the registered database statement at an end of execution of the database statement, determining a second time at which execution of an oldest currently registered database statement was started, assigning a garbage collection thread to a second database transaction committed at a third time and affecting at least one row of the plurality of rows, and activating the garbage collection thread to reclaim memory within the in-memory row store when the third time is less than the second time. Related systems, methods, and articles of manufacture are also described.

Abstract: Techniques for contextual modification of data sharing constraints in a distributed database system are disclosed. The constraint modifications can improve data sharing processes, particularly in applications that involve cross-model data sharing and/or have a need for low data latency.

Abstract: The present disclosure involves systems, software, and computer implemented methods for access control delegation. One example method includes identifying creation of a derived entity from an originating entity. A definition of the derived entity is modified to include an association to the originating entity. A derived access control definition is created based on an originating access control definition. Access control condition(s) in the derived access control definition are identified. Modified access control condition(s) are created by modifying column reference(s) to include a reference to the association to the originating entity. A query is received for the derived entity. A modified query is created by including, in the received query, the modified access control condition(s) and unfolding the association to the originating entity.

Abstract: Techniques of managing design iterations include generating data linking selected snapshot histories with contextual notes within a single presentation environment. A designer may generate a design iteration in a design environment. Once the design iteration is complete, the designer may show a snapshot of the design iteration to a stakeholder. The stakeholder then may provide written contextual notes within the design environment. The computer links the contextual notes to the snapshot and stores the snapshot and contextual notes in a database. When the designer generates a new design iteration from the previous design iteration and the contextual notes, the computer generates a new snapshot and a link to the previous snapshot to form a timeline of snapshots. The designer may then present the snapshots, the timeline, and the contextual notes to the stakeholder as a coherent history of how the design of the mobile app evolved to its present state.

Abstract: A method of optimizing automatic schema-based metadata generation, the method including, receiving a trigger to automatically generate metadata for unstructured data, dynamically detecting a metadata optimization parameter for the unstructured data, automatically selecting a metadata schema for the unstructured data, identifying a pre-optimized metadata-generation format for the selected metadata schema, automatically transforming the unstructured data into an optimized metadata-generation structure of the pre-optimized metadata-generation format, identifying a metadata-generation logic set for the detected metadata optimization parameter, the identification based on a programmed association between the metadata-generation logic set and the detected metadata optimization parameter, and a stored pre-programmed logic set of computer-executable actions, executing the computer-executable actions in relation to the optimized metadata-generation structure, generating a search phrase responsive to the execution of t

Abstract: A method, computer program product, and a system where a processor(s) monitors communications between one or more clients to a query engine, to identify requests to execute queries on the database resource. Based on identifying a requested query, the processor(s) applies cognitive analysis algorithms to parse components of the requested query, to identify components in the requested query that indicate an execution success measure for the requested query. The processor(s) determines the execution success measure for the requested query and assigns an execution action to the requested query: pre-empting the requested query or executing the requested query. The processor(s) facilitates this action on the requested query.

Abstract: An embodiment of the invention may include a method, computer program product and system for generating follow-up questions based on machine learning utilizing a computing device. The embodiment may include receiving an input question from a user. The embodiment may include parsing the received input question to extract input question components. Parsing utilizes natural language processing techniques. The embodiment may include executing trained question component models to predict follow-up question components. The extracted input question components are utilized as inputs to the trained question component models. The embodiment may include combining the predicted follow-up question components to generate one or more follow-up questions. The embodiment may include returning the one or more follow-up questions to the user.

Abstract: A processing device receives a request to identify whether a file is a complete file. The processing device determines a first size of the file. The processing device determines whether the first size satisfies a size criterion. The processing device determines that the file is a complete file responsive to the determination that the first size satisfies the size criterion.