Abstract: Systems, devices, and methods discussed herein are directed to utilizing patterns and logical entities to identify and maintain relationships between data assets. In some embodiments, a query comprising a logical entity qualifier, one or more pattern identifiers that indicate a pattern, and a data set identifier may be received. The pattern is executed against a data set corresponding to the data set identifier and one or more logical entities are generated based on this execution. A logical entity may be a label that represents a set of one or more data assets in a data set. Assets that share a label can share attributes that are described by the label. The label corresponding to each logical entity may be presented, where each label represents a different set of data assets which share a common trait. In some embodiments, the user may define a pattern by which commonality may be assessed.

Abstract: The invention includes a method for monitoring an automated plant having at least one field device, wherein a first cloud-capable database, having a first data configuration and containing field device related data including measured values, parameter values, identification data, and diagnostic status of the field device, wherein a second cloud-capable database having a second data configuration incompatible with the first data configuration, and wherein the first and the second data configurations define file formats of the data, the method comprises: retrieving at least a part of the data contained in the first database by means of a data conversion unit, especially an edge device or a gateway; converting the retrieved data into a format conforming to the second data configuration; and storing the converted data in the second database. The invention further includes a data conversion unit, which is embodied for executing the method of the invention.

Abstract: A pervasive search architecture that indexes personal content of a querying user and made accessible to the user by other users. A compute node of a personal content location facilitates index generation and serve of the index. The index is generated for personal content stored at the personal content location. For a given content location, the index may encapsulate content stored in a set of locations with access permissions. The indexing application runs periodically at the personal content location and incrementally indexes content that is added to the shared locations. The same application allows the user to configure locations with the desired access permissions for participation in the search.

Abstract: Techniques perform file storage. Such techniques involve determining a candidate allocation unit (AU) size for storing data based on a statistic of an AU size matching with a write request during a statistic period, and storing a new file using the determined candidate AU size to store the new file. Accordingly, storage space is saved and reading and writing performance are improved.

Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term or phrase is associated with a respective part of speech, and a frequency of occurrence of a combination of adjacent terms or phrases public domain is determined. A relevance of each term is then determined based on its respective type of term and frequency of occurrence in the public domain. The natural language search query is then interpreted based on the importance or relevance of each term.

Abstract: System and method for behavioral and contextual data analytics are disclosed. An example computer system to process observational data received from a wireless device includes a memory including machine readable instructions and a processor to execute the instructions to: process the observational data to identify temporally adjacent applications to generate usage metric data, the observational data including application usage data; build a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behavior associated with the wireless device; and apply the behavior model to predict a usage duration of a second application in response to usage of a first application.

Abstract: The current document is directed a resource-exchange system that facilitates resource exchange and sharing among computing facilities. The currently disclosed methods and systems employ efficient, distributed-search methods and subsystems within distributed computer systems that include large numbers of geographically distributed data centers to locate resource-provider computing facilities that match the resource needs of resource-consumer computing-facilities based on attribute values associated with the needed resources, the resource providers, and the resource consumers. The resource-exchange system monitors and controls resource exchanges on behalf of participants in the resource-exchange system in order to optimize resource usage within participant data centers and computing facilities. By optimizing resource usage, the resource-exchange system drives participant data centers and computing facilities towards maximum operational efficiency.

Abstract: A computer-implemented method for transferring changes made to data from a data source to a data destination may be provided. The method involves using a message broker with streaming channels for transferring data changes from a data source to a data consumer. To determine if data has changed, a portion of data labeled with a key is sent through a hash function. A hash value with the corresponding key that has already been sent to the data consumer is retrieved from a streaming channel and compared to the newly created hash value. If the newly created hash value is different the data is sent to data consumers by the message broker via one streaming channel, while the new hash value is stored in the other streaming channel.

Abstract: Methods for operation fragmentation with metadata serialization in query processing pushdowns are performed by systems and devices. A compute node receives a query directed to database data, and generates query text fragments. Portions of metadata of the database are read from different page servers, and are serialized by the compute node. Page identities of data pages in a page server that stores the data are determined from a page index at the compute node, and the compute node provides the text fragments, the serialized metadata, and the page identities to the page server storing the data. The page server compiles the text fragments based on the serialized metadata to generate an executable query plan for the query. The page server initializes and performs execution of the executable query plan against the data as a pushdown query operation, and a result of pushdown query operation is provided to the compute node.

Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term or phrase is associated with a respective part of speech, and a frequency of occurrence of a combination of adjacent terms or phrases public domain is determined. A relevance of each term is then determined based on its respective type of term and frequency of occurrence in the public domain. The natural language search query is then interpreted based on the importance or relevance of each term.

Abstract: Systems and methods for providing notifications based on geofencing search results are provided. In particular, in response to a search query from a user, a plurality of search results can be determined. One or more physical search results having an associated geographic location can be determined from the plurality of search results. A geofencing search result can be generated for at least one of the physical search results. The geofencing search result can include data for establishing a geofence proximate to the geographic location by a user device associated with the user. Upon selection of the geofencing search result by the user, the geofence can be established by the user device. Upon detecting entry into the established geofence, the user device can provide one or more notifications associated with the geofence and/or the search query to the user.

Abstract: The subject technology receives a first transaction. The subject technology assigns a first read version to the first transaction, the first read version indicating a first version of the linearizable storage. The subject technology performs a read operation from the first transaction on a table in a database. The subject technology determines a first commit version identifier corresponding to first data resulting from the read operation. The subject technology, in response to determining that a particular write operation is absent from the first transaction, proceeding to execute a different transaction and foregoing to perform a commit process in connection with the first transaction.

Abstract: A recommender system includes an information storage and a recommender. The recommender configures the information storage according to a recommender data structure. The data structure includes multiple nodes, each including an inquiry hook and an option hook connected to each other. The inquiry hook includes an inquiry text corresponding to a user inquiry. In the data structure, a first node is associated with one or more child nodes, wherein the user inquiry text of the first node has one or more option values, each option value is included respectively in the option hook of the child nodes. The inquiry hook of at least one of the multiple nodes includes an end point hook, which corresponds to one or more of the following recommendation actions: recommending a carrier, manual submission, and declining coverage. The recommender system may traverse the recommender data structure to retrieve recommendation action(s) to the user.

Abstract: This application relates to a client-server architecture that enables file sharing between an instructor and a class. The files are stored in a storage service accessible via a network, and a separate copy of each file can be shared with each student in the class. In order to facilitate the sharing of multiple copies of the file, a share pool is created in a partition of the storage service allocated to the instructor. The share pool includes a number of stub files that are placeholders for clones of the shared file. A share handler service receives a request to share a file with a class, requests a number of stub files from the share pool, and utilizes the number of stub files to generate clones of the shared file in the partition of the storage service. Students are then granted access to the clones in the partition.

Abstract: A method for analyzing data from data sources includes receiving user input to specify a mathematical expression. The mathematical expression includes a first data field from a first object and a second data field from a second object. The first object and the second object are distinct objects of an object model that includes a tree in which each relation between objects represents a respective many-to-one relationship between respective objects. The method further includes generating a calculated data field based on the mathematical expression, and assigning the calculated data field as a member of a third object in the object model according to relations in the tree connecting the first object to the second object.

Abstract: The subject technology inserts, by a first transaction, a new version of an object, the inserting corresponding to a first statement from the first transaction, the first statement including information indicating a first key, a first transaction identifier, a first statement number, and a first restart count. The subject technology performs, by a second transaction, a range read, the range read including information indicating the first key. The subject technology receives, after performing the range read, a set of conflicting transactions. The subject technology determines that a conflict occurred between the first transaction and a third transaction from the set of conflicting transactions.

Abstract: A computer transforms content of a composite table into structured data objects. The computer receives a composite table and identifying a data zone characterized by data columns, and a header zone. The computer identifies first header cells arranged coextensive with a single data column and second header cells arranged coextensive with a set of data columns. The computer generates a hierarchical representation of said header cells, based at least in part, on the header cell arrangements. The computer generates a revised table based on the hierarchical representation, with the first header cells identifying a data column and the second header cells identify a first header cell. The computer generates structured data objects representing the zones and being arranged based, at least in part, on the revised table and where the structured data objects are keyed to the first header cells.

Abstract: Techniques facilitating hardware-based memory-error mitigation for heap-objects. In one example, a system can comprise a process that executes computer executable components stored in a non-transitory computer readable medium. The computer executable components comprise: an entry component; and a re-purpose component. The entry component can allocate an entry in a table to store bounds-information when an object is allocated in memory. The re-purpose component can re-purpose unused bits of an object address to store an index to the table entry.

Abstract: Aspects described herein implement a data-driven indexing scheme on a spreadsheet-based workbook. One aspect describes a system for implementing an indexing scheme in a spreadsheet workbook. The system comprises a data store, a user interface, and a processor configured to identify a plurality of cells stored in the plurality of tables, analyze individual cells of the plurality of cells to identify at least one formula or expression therein that involve table columns of the plurality of tables stored in the data store, identify the table columns based on parsing the identified at least one formula or expression, generate an index for individual table columns of the identified table columns, receive the query from the user interface, the query including an operator and an identifier for at least one of the table columns, identify and return a result to the query based on the identified index and the operator.

Abstract: The present invention provides for a system and a method for reconstructing regression test cases using post production events. The present invention provides for a test case reconstruction engine configured to extract post-production identifiable elements associated with a post-production event and pre-production identifiable elements associated with a pre-production event. The present invention provides for a system and a method for determining similarity between the pre-production event and the post-production event based on a comparison of one or more pre-production parent identifiable elements and one or more pre-production child identifiable elements of a subject identifiable element, with the post-production identifiable elements.