Abstract: In various embodiments described in the present disclosure overrides to forecast data are disaggregated to a lowest hierarchy level and derived forecasts are created based at least in part on the results. In one example, values included in the forecast are organized into a set of dimensions where the dimensions are associated with a hierarchy level of a plurality of hierarchy levels.

Abstract: A method is disclosed, comprising receiving, at a build service, an external dataset and an adaptor associated with the external dataset, the external dataset being in a format which is not managed by the build server. The method may also comprise querying the adaptor, by the build service, for information related to the external dataset. The method may also comprise receiving, at the build service, the information related to the external dataset; and causing, by the build service, the external dataset to be input into a build pipeline using the information related to the external dataset.

Abstract: The presently disclosed systems and methods receive a search request for information provided in a first field of a first index of a non-relational database cluster and a second field of a second index of the non-relational database cluster. A first database query is performed on the first index based on the first field, and the first database query results may be stored in volatile memory. A second database query is performed on the second index based on the second field, and the second database query results may be stored in the volatile memory. A joined dataset of the first database query results and the second database query results having a joined field corresponding to the first field and the second field is then be generated. The joined dataset is displayed in a user interface.

Abstract: According to one embodiment, a data analysis apparatus includes a processor. The processor acquires, for a plurality of products as analysis targets, manufacturing data including at least one manufacturing condition for each product. The processor calculates, based on a bias of state data representing a degree that the product is in a specific state in at least one item that can be taken concerning one manufacturing condition extracted from the manufacturing data, an index value representing a degree that a cause of the specific state of the product is the manufacturing condition.

Abstract: Various examples are directed to systems and methods for generating a contract form using a contract library data structure. A computing device may receive, from a user, a contract form request comprising a set of contract classifiers. The computing device may access a contract library data structure and executes a filter routine to traverse the contract library data structure to identify at least one contract term associated with one or more filter tags corresponding to the set of contract classifiers. The filter routine may return an indication of the first contract term associated with the first node. The computing device may generate a contract form comprising the first contract term.

Abstract: Methods and systems described herein are directed to storing and querying log messages using log message bifurcation. Each log message that exceeds a time limit for storage in a live storage database is bifurcated into a log pattern that is stored in a log-pattern database and a metric object that records variable information of the log message in a time-series metric database. The log-pattern database and the time-series metric database together provide long-term log storage for the information contained in log messages that are too old to be stored in a live storage database. A request for access to log messages stored in the long-term log storage is completed by reconstructing the requested log messages from log patterns stored in the log-pattern database and metric objects stored in the time-series metric database.

Abstract: Systems and methods for facilitating optimization of documents based on prior interactions according to one or more example embodiments are shown. Such systems and methods make use of analyzing information obtained from financial institution computing system as well as other third party networks. Such systems and methods also make use of analyzing information stored from previous interactions with documents (e.g., financial disclosures). In some embodiments, this analysis of data allows for documents, such as disclosure documents, to emphasize features or sections that are of particular interest to the individual receiving the document. Information associated with one or more sections of a disclosure document may be pushed to account holders based on a disclosure associated event.

Abstract: Provided is a management system for managing a relation between a database and a volume without installing an agent. A management system manages a relation between a data catalog and a volume of a storage system storing data to be used by the data catalog. A processor of the management system accesses data that is included in the data catalog and that includes authentication information of the volume; detects the number of accesses to the volume in a time range including a timing of the access to the data; and manages the relation between the data catalog and the volume on the basis of the number of accesses.

Abstract: Systems and methods for providing scalable object storage query capabilities in a distributed storage system are disclosed. In one implementation, a processing device may receive, by an object-based distributed storage system, a request from a client to execute a query with respect to data stored at the distributed storage system. The processing device may execute the query to produce a result object and may store the result object at the distributed storage system. The processing device may further transmit the result object to the client. The processing device may re-execute the query at a subsequent point in time to update the result object and transmit the updated result object to the client.

Abstract: Embodiments generate machine learning predictions for database migrations. For example, a trained machine learning model that has been trained using training data can be stored, where the training data includes migration information for database migrations and migration methods for the database migrations, and the training data migration information includes a source database type and a target database infrastructure. Migration information can be received for a candidate database migration that includes a source database type and a target database infrastructure. Using the trained machine learning model, migration methods based on the migration information for the candidate database migration can be predicted.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations. For example, various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations using at least one of query-compliant hash databases, segmentation-based hashing models, and hash segmentation models.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations. For example, various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations using at least one of query-compliant hash databases, segmentation-based hashing models, and hash segmentation models.

Abstract: Example implementations relate to identifying file system objects of a file system for generating an initial baseline of the file system. In an example, an inode table of the file system is retrieved. Modes included in the inode table correspond respectively to file system objects of the file system. Attributes, including an object identifier and a time attribute, are extracted from each of the inodes of the inode table. A compilation of the object identifiers from the extracted attributes are provided to a service that generates the initial baseline of the file system using the compilation.

Abstract: In various embodiments, a method for maintaining and analyzing a rolling history of performance data for a computer network is described. In one embodiment, one year's data is stored, sorted by object and date. New data is appended to the end of the file each day and an index by object is stored. Using this method, data for twelve full months can be provided in object order, and data for one partial month that was added daily in date order can also be provided.

Abstract: A method for execution by a node includes determining first level assignment information indicating assignment to a first subset of levels of a plurality of levels and determining second level assignment information indicating assignment to a second subset of levels of the plurality of levels. The second level assignment information indicates a second compute sequence number that is different from a first compute sequence number indicated by the first level assignment information. A query indicating the first compute sequence number is determined for execution. Execution of at least one query operator of the query is performed in accordance with a level included in the first subset of levels based on determining to utilize the first level assignment information based on the query indicating the first compute sequence number.

Abstract: The present disclosure provides a method, system, and device for file replication. To illustrate, based on target replication information corresponding to a version of a file at a target device, a source device may determine one or more portions of a different version of the file at the source device to be provided to the target device. One or more other aspects of the present disclosure further provide sending, to the target device, the one or more portions and replication information corresponding to the version of the file at the source device. Based on the version of the file at the target device, the one or more portions, and the replication information corresponding to the version of the file at the source device, the target device may assemble and store a file that corresponds to the version of the file at the source device.

Abstract: Techniques for data evaluation are provided. A plurality of data records is received, and a first comparison vector is generated by comparing a first and a second data record of the plurality of data records, where the first comparison vector indicates differences between the first and second data records. A machine learning model is trained based at least in part on the first comparison vector. The plurality of data records is evaluated using the machine learning model, and at least two of the plurality of data records are linked based on the evaluation.

Abstract: A data migration and integration system is disclosed. In various embodiments, the system includes a memory configured to store a mapping from a source schema to a target schema; and a processor coupled to the memory and configured to migrate to a target schema an instance of source data organized according to the source schema, including by using a chase engine to perform an ordered sequence of steps comprising adding a bounded layer of new elements to a current canonical chase state associated with migrating the source data to the target schema; adding coincidences associated with one or more of the target schema data integrity constraints and a mapping from the source schema to the target schema; and merging equal elements based on the coincidences; and repeat the preceding ordered sequence of steps iteratively until an end condition is met.

Abstract: Systems and methods are described for generating metrics from real-time streaming log data. In order to generate the metrics, a metricization rule associated with the log data can be obtained. For example, the metricization rule may be obtained from a user. The metricization rule may include one or more field-value pairs that define how the metrics are generated from the log data. Preview metric data can be generated by applying the metricization rule to the log data. For example, the preview metric data may be displayed via a user interface. Further, the metricization rule can be accepted or approved by the user. Further, the additional log data can be ingested and based on determining that the metricization rule has been accepted, metric data may be generated by applying the metricization rule to the additional log data.

Abstract: A system includes a memory and a processor, where the processor is in communication with the memory. The processor is configured to receive a request to create a tenant schema within a database, where the database includes one or more tenant schemas associated with one or more tenants. The tenant schema associated with a tenant of the one or more tenants is created, where the tenant schema is empty. It is determined whether the database includes a template schema. Upon determining the template schema exists, command is sent to the database to copy the template schema to the tenant schema associated with the tenant.