Abstract: A computer-implemented method, computer system, and computer program product for managing a database are disclosed. Features thereof include selecting data lines for analytics, each data line including original data, and adding, to each of the selected data lines, a set of additional bytes to represent metadata about a corresponding one of the data lines. The features further include receiving a request to receive a first data line, and reading a first set of additional bytes corresponding to the first data line.

Abstract: Apparatus and associated methods relate to mitigating data-stream dropout in a serial data-stream. A time-sequence of messages of the serial data-stream is received, each containing a data packet communicating an action. Validity of each of the time-sequence of messages received is determined. After receiving each valid message, a plurality of future actions is created based at least in part on the valid message received. The plurality of future actions corresponds to a plurality of future data packets of the time-sequence of messages. After receiving each valid message, the action communicated in the valid message received is performed. After receiving each invalid messages, a next one of the set of sequential future actions created is instead used in place of any action communicated in the data packet of the invalid message received.

Abstract: Systems and methods described herein enable effective and accurate modeling of a set of existing data profiles, perform categorization of the data profiles in an explainable way such that actions can be taken on the information to have predictable results. The systems and methods further facilitate means to categorize small text components, trained over dependent and independent model sets, to enable a cleaner and more explicit representation of information rich short-strings, in order to facilitate a more meaningful representation of the data profiles.

Abstract: A computer-implemented method reduces the number of character set conversions in a distributed data virtualization system. The method includes receiving, from a first application, a first request for a set of data, including a requested codepage, stored in a first data source of a plurality of data sources. The method includes obtaining, by a connector, from the first data source, a first codepage associated with the first data source, which identifies a character set associated with the set of data. The method also includes adding a virtual coded character set identifier (VCCSID) in a first catalog entry of a catalog, wherein the first VCCSID is added to a nickname column of the catalog. The method includes obtaining and sending the set of data to the data application while allowing maximum of one codepage conversion.

Abstract: Data content governance for presentation layer synchronization for a version controlled underlying data model includes defining a data model for underlying data in a database, specifying a presentation layer for the defined data model and identifying selected elements of the data model necessary to meet data requirements of the specified presentation layer. Then, the identified selected elements of the data model are serialized and both the specified presentation layer and the serialized elements are versioned in respect to the specified presentation layer. Thereafter, when the data model becomes modified, the specified presentation layer is modified to accommodate the modified data model. In response to the modification, a different selection of elements of the data model necessary to meet data requirements of the modified presentation layer are re-identified and serialized, with the modified presentation layer and the serialized re-identified different selection of elements becoming re-versioned.

Abstract: A system includes reception of a request to display a first dashboard, transmission of a request for a first dashboard data file associated with the first dashboard from a server system, reception of the first dashboard data file associated with the first dashboard from the server system, issuance a first plurality of queries of the first dashboard data file to the server system, reception of result sets in response to the first plurality of queries, building of results based on the result sets and the model data, rendering of one or more data visualizations based on the results, and presentation of the one or more data visualizations on the display.

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Methods and systems are provided for searching and/or acting on information in a distributed data processing system. A method of processing a semantic rules engine may comprise receiving a rule data set, identifying a set of connected elements based on the rule data set, evaluating conditions related to the set of connected elements and the rule data set, determining a command set based on the evaluated conditions of the set of connected elements, and executing the command set.

Abstract: In some implementations, a device may receive, from a data stream, a set of data points arranged in a dimensional data space. The device may compare the set of data points to identify one or more clusters using values of a distance parameter for data points included in the set of data points, wherein the values of distance parameter includes different values of the distance parameter for different data points. The device may transmit an indication of the one or more clusters to cause a device to display information associated with the one or more clusters. The device may receive, from the device, feedback information associated with at least one data point, wherein the feedback information indicates that at least one data point is associated with an error. The device may modify a value of the distance parameter associated with the at least one data point to a modified value.

Abstract: Systems and methods for automated and explainable machine learning to generate seamlessly actionable insights by generating explainable personas directly from customer relationship management systems are disclosed. The personas are defined as a collection of segments, scored by likelihood to generate good opportunities, accompanied ranked profile attribute importance, with descriptive names and summaries, associated human and database readable queries which have been generated to optimally find cluster candidates in a broader data universe. Such a system would effectively and accurately model the composition of past clients, perform the categorization in an explainable way such that actions can be taken on the information to have predictable results.

Abstract: A system includes an execution engine and a processor. The execution engine receives application code that, when executed, is configured to generate a second data element from a first data element that is stored in a first database and store the second element in a second database. The execution engine converts the code into an execution plan and executes it. The execution plan includes a first operation to obtain the first element from the first database, a second operation to apply a transformation to the first element, and a third operation to store the first element as the second element in the second database. The processor accesses the execution plan and determines that the third operation includes storing the second element. In response, the processor generates a data lineage for the second element by extracting, from each operation from the third to the first, a portion of the data lineage.

Abstract: A method includes generating, by a processor system, a graph. The graph is based at least in part on a plurality of instances in which operational taxonomic units are identified as being represented within an environment. The method can also include determining, using the processor system, that at least one instance of the plurality of instances corresponds to a false-positive identification of an operational taxonomic unit. The determining is based on the properties of the graph. The method can also include reporting the determination.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate query recommendation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an ontology component that can generate an ontology based on unstructured data of a description of an application programming interface. The computer executable components can further comprise a reasoner component that can identify one or more terms of the ontology that correspond semantically to a term of a query.

Abstract: Systems and methods are provided to combine data from various internal data sources and external data sources to generate and maintain frequently asked questions and knowledge bases. By doing so, the collective knowledge of a company and customers' questions around it are aggregated and served in a way that increases the availability and relevancy of such knowledge for both self-help channels and computing agents (e.g., customer service representatives (CSRs)).

Abstract: In an embodiment, a process for data enrichment and matching includes obtaining a first dataset associated with a first user from a first data source, where the first dataset includes records from a structured data source, and obtaining a corresponding second dataset associated with a second user. The process includes enriching at least one of the first dataset and the second dataset. The process includes merging the first dataset and the second dataset including by matching a set of attributes based at least in part on matching corresponding attributes, wherein at least one of the first dataset and the second dataset has been enriched. The process includes outputting the merged data.

Abstract: A processing system of including at least one processor may obtain a query to retrieve a set of information from a graph database, the query providing a criterion for identifying graph database vertices that are relevant to the query, identify the graph database vertices that are relevant to the query in accordance with the criterion, obtain vertex identifiers of the relevant vertices, sort the vertex identifiers into a list in a sequential order, identify a first subset of the vertex identifiers in the list that corresponds to a first result index and a result size, access a first subset of the vertices that is identified as being relevant to the query and that is identified by the first subset of the vertex identifiers, retrieve a first subset of the set of information from the first subset of the vertices, and provide the first subset in a first results page.

Abstract: Methods, systems, and computer programs for generating a queue of media content items to be played in a party setting are described. A first seed track is identified and is used to create a plurality of related media content items that are presented to a plurality of voters. The media content item receiving the most votes is placed in the queue and subsequently played.

Abstract: Test data may be generated by classifying a plurality of medical records of patients into a plurality of groups, based on at least an execution characteristic of a processing program that processes the medical records, and generating test data including at least a part of the plurality of medical records based on proportions of the number of the medical records classified into the plurality of groups.

Abstract: A data analytics system. The data analytics system includes a communication processor configured to communicate with one or more remote electronic devices, and one or more electronic processors electrically coupled to the communication processor. The one or more electronic processors are configured to receive a first data from the one or more electronic devices, generate a determination including a first confidence level based on the first data, identify additional data which would increase the first confidence level; request the additional data, receive responses including the additional data, and generate a second confidence level of based on the second data.

Abstract: Processing a database query for sets of data includes assigning a unique identifier from an integer space to each entity within data and creating one or more sets of entities each pertaining to a corresponding entity within the data. A representation is then generated on disk for each set of entities, wherein each representation encompasses and is suited for a range of the unique identifiers of entities within a corresponding set and indicates a presence of an entity within that corresponding set. Finally, a query is processed based on the representation for each set of entities to retrieve data satisfying the query, wherein the representation provides a constant time for association and dissociation operations that are append-only operations with deferred merge and automatic filtering of deleted and duplicate entities at query time.