Abstract: Described is a system (and method) for efficient metadata verification when leveraging multi-streams as part of data deduplication system. The system may efficiently perform metadata integrity verification by dynamically invoking multi-streaming to leverage parallelization for metadata verification. Accordingly, the system may better utilize bandwidth and processing capabilities to reduce verification time.

Abstract: A method, apparatus, system, and computer program code for intelligent data discovery with dynamic ontology are provided. According to one illustrative embodiment, the method using a number of processors to perform the steps of: identifying a set of data items in unstructured content using a dynamic data schema populated from a dynamic ontology; and responsive to identifying a data item that is not recognized in the data schema: storing the data item with labels; generating a weight for the data item; and responsive to the weight exceeding a threshold, updating the schema to include the data item that was not recognized.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for infinite versioning by automatic coalescing. In a particular embodiment, a method provides determining an age range for a plurality of data versions stored in a secondary data repository and identifying first data versions of the plurality of data versions that are within the age range. The method further provides determining a compaction ratio for the first data versions and compacting the first data versions based on the compaction ratio.

Abstract: The present disclosure may include methods, systems, and computer-readable media for optimizing database functionality. For example, one method may include receiving test data from multiple different test data sources for a specified user under test. The method may further include training a machine learning model to: access the test data received from the test data sources for the same user under test, identify which disparate substances or conditions are being tested on the user by each of the different test data sources, and determine a relevance score for each of the identified substances or conditions being tested by the different test data sources. The method may also include generating an illustration of combined test results for the user under test that includes those substances or conditions that meet at least a minimum relevance score. Other systems, methods, and computer-readable media are also described.

Abstract: Systems and methods for querying and obtaining results from an external data source that operates with a different querying language is provided. The system activates a datasource connector of the system. The system receives attributes of a query in a native language of the system, and the datasource connector formats the attributes of the query into a query language statement in a native language of the external source. The datasource connector then makes an application programming interface (API) call to the external source. The API call includes a transmission of the query language statement to the external source, which causes the external source to perform a query using the query language statement. The datasource connector receives results of the query performed at the external source, whereby the results are in a non-tabular format. The datasource connector then reformats the results into a tabular format.

Abstract: Described herein is a system and method for an append-only block-oriented object storage system. An unstructured storage object is stored in cloud storage. A block is data is received, from a client, to append to the unstructured storage object. A universally unique identifier of the client, and client contextual information regarding the block of data, are received from the client. The client contextual information comprises an identifier of a most recently appended block from the client. When the identifier of the most recently appended block from the client matches a stored identifier associated with the universally unique identifier of the client, the block of data is appended to the unstructured storage object, and the stored identifier associated with the universally unique identifier of the client is updated in accordance with the received client contextual information.

Abstract: A request from a user to access a report associated with one or more content items maintained by an electronic content management system can be received. A query, associated with the request and including one or more attributes of the request to access the report can be executed. A set of user permissions can be set. The requested report can be based on one or more results returned from the executing of the query. The requested report can include information consistent with the set of user permissions and generated to include a link to the one or more content items maintained by the electronic content management system. The analytics engine can be logically separate from the electronic content management system. A request can be received through the query to access the one or more content items. The one or more content items can then be presented to the user.

Abstract: A method, computer system, and a computer program product is provided for computer log management. In one embodiment, in response to receiving a log request from a user, an input content is analyzed and adjusted according to input contents and user's previous activities. A similarity analysis and a fairness analysis is performed to determine similarities between the input content, as adjusted, and a plurality of log records in an object library. The similarity analysis includes analyzing any patterns and attributes. The attributes have a dimension, and each dimension has a predefined weight (W). The fairness analysis ensures that one type of log is not favored over others. A best possible match is then determined, and one or more logs are presented to the user providing the best possible match.

Abstract: A method is provided. The method comprises: obtaining, from a data source computing system and by a data filter analytics computing system, event information associated with one or more events; determining, by the data filter analytics computing system, a dynamic data filter for the event information; generating, by the data filter analytics computing system, customer information based on filtering the event information using the dynamic data filter; and causing, by the data filter analytics computing system, display of the customer information on a user device, wherein the customer information comprises a configurable graphical representation of the customer information.

Abstract: A system and method for sharing an item of media content is described. An exemplary method includes associating a first location with the item of media content at a first mobile device and sending a request to view the item of media content to a second mobile device at a second location. The method includes showing a recipient of the item of media content a simulated journey from the recipient's location to a location associated with the item of media content. The simulated journey includes zooming out from the recipient's location shown on a map, following a path between the recipient's location and the location associated with the item of media content, and zooming into the location associated with the item of media content.

Abstract: A Merkle tree-based data management method may comprise: aligning data into two-dimensional square matrix; calculating a hash value of each node of the two-dimensional square matrix; calculating hash values of each row of the two-dimensional square matrix; generating an additional column with nodes having the hash values of each row; calculating hash values of each column of the two-dimensional square matrix; generating an additional row with nodes having hash values of each column; and calculating a Merkle root by concatenating the hash values of the additional column and the hash values of the additional row.

Abstract: A computer-implemented method of associating digital tags with digital files comprises storing a plurality of digital files having embedded therein content data and metadata including tags; receiving, via a user interface device of a client device, a first tag label containing alphanumeric text created and inputted by a user of the client device; modifying, using a controller device, a selected first one of the tags of the metadata in a first of the digital files to include the first tag label; receiving, via the user interface device or another user interface device, an instruction to search for all of the digital files having at least the first tag label; responsive to receiving the instruction, automatically searching for all of the digital files having at least the first tag label; and displaying, on a video display device associated with the client device, a first indication of the first tag label.

Abstract: Systems and methods are provided for using point-in-time architecture (PTA) databases. An exemplary method includes: entering first data, received from a first data source, into a first PTA database; receiving a first instruction to process the first data using a first statistical operation; executing the first statistical operation for the first data, resulting in first output data; filtering the first output data based on a user-selected attribute; and performing multiple stages of a data processing operation for the first output data.

Abstract: An apparatus and method for generating an article, the apparatus including at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a content category, receive a data file comprising content data, import the content data from the data file, generate an article as a function of the imported content data and content category, and export the article.

Abstract: A query request may be received via a communication interface. Records may be retrieved from a database system based on the query request. The records may correspond with document portions selected from documents. A subset of the records may be determined by applying textual analysis of the document portions based on the query request. A response message to the original request may be generated and sent via a communication interface. The response message may include an answer to the query in natural language generated based on the first subset of the records.

Abstract: Changes made to a database table are accumulated, in durable storage, and snapshots of partitions of the table are obtained. For successive snapshots of a partition, the system accesses a previous snapshot, applies changes from the accumulated changes, and stores the updated snapshot to a durable data store. The accumulated changes and the successive partition snapshots are made available to restore the database to any point in time across a continuum between successive snapshots. Although each partition of the table may have a backup snapshot that was generated at a time different from when other partition snapshots were generated, changes from respective change logs may be selectively log-applied to distinct partitions of a table to generate an on-demand backup of the entire table at common point-in-time across partitions. Point-in-time restores of a table may rely upon a similar process to coalesce partition snapshots that are not aligned in time.

Abstract: A method for generating a feature store comprises receiving an indication of user input indicating a database management system and a server system hosting a target database; and in response to receiving the indication of user input: determining a connection string for the target database; using the connection string to connect to the target database via the database management system; after connecting to the target database, generating a structure of the feature store in the target database; and populating the feature store with predefined feature values.

Abstract: Provided are methods comprising receiving a query for information from the database, determining particular data element types and data element values that are the subject of the query, instantiating a query data structure containing the data element types and the data element values that are the subject of the query, identifying records within the database that contain one or more data element types and/or data element values that are included in the query data structure, and instantiating a results data structure comprising information relating to the identified records.

Abstract: Disclosed are examples of a system, techniques and non-transitory computer-readable storage medium that enable the selection of a response document template for generating an appropriate response to notification document. Respective components may generate an electronic document from the notification document. A common theme between two or more of the electronic documents may be identified. The electronic documents identified as having the common theme may be grouped in a notification document corpus. The notification document corpus may be analyzed with reference to received notification documents stored in a document repository. Based on results of the analysis, a template of a notification response document appropriate for responding to a specific notification document received by the enterprise may be selected. The selected response document template may be forwarded to a client device for further processing.

Abstract: The described technology is generally directed towards processing various customer input data to extract frequently recurring customer experience themes, including positive and negative sentiment regarding customer experiences. Natural language processing, image processing, speech recognition and/or computer vision techniques can be used on customer-related data to determine themes, tests and scenarios, as well as discover insights that can be used to improve customer experiences. The technology can be used to recreate a customer engagement, journey and overall experience by designing test scenarios around failure themes.