Abstract: A database server for implementing a distributed database, the server having access to a data store holding a first copy of the database managed by the database server and having a processor and interfacing means for client communication and for communication with a second database server managing a second copy of the database, the database server may implement a change to the database communicated from the client by the steps of: communicating the change to the second database server; storing in the first copy of the database a tentative record of the change; and on receiving from the second database server a storing record acknowledgement about the change in the second copy of the database: instructing the second database server to store a permanent record of the change in the second copy of the database and storing in the first copy of the database a permanent record of the change.

Abstract: A user preference hierarchy is determined from user response to images. Images may be tagged using machine learning models trained to determine values for images. Products are clustered according to product vectors. Images of products within a cluster are clustered according to composition and groups of images are selected from image clusters for soliciting feedback regarding user preference for products of a cluster. Feedback is used to train a user preference model to estimate affinity for a product vector. A user may provide feedback regarding a price point and products are weighted according to a distribution about the price point. The distribution may be asymmetrical according to direction of movement of the price point. Filters may be dynamically defined and presented to a user based on popularity and frequency of occurrence of attribute-value pairs of search results and based on feedback regarding the search results.

Abstract: The present disclosure involves systems, software, and computer implemented methods for processing correlated calculated fields in correlated subqueries. One example method includes receiving a request to process a database query that includes at least one subquery and processing each subquery. A determination is made as to whether each subquery includes a correlated calculated field that is a calculated field that is not included in a first datasource queried by the subquery but is included in a second datasource queried by an outer query that includes the subquery. If the subquery does not include a correlated calculated field, the subquery is processed without modification. If the subquery includes a correlated calculated field, metadata is retrieved for the outer query of the subquery that queries the second datasource and includes the correlated calculated field. The subquery is rewritten using the metadata and the rewritten subquery is processed.

Abstract: Techniques are provided for volume group backup, volume group restore, and volume group garbage collection for volume groups backed up to an object store. A volume group workflow is implemented to orchestrate individual consistent volume workflows that are separately and individually implemented by nodes hosting constituent volumes of a volume group. The volume group workflow and the individual consistent volume workflows are performed to back up the volume group to the object store, restore a volume group backup from the object store to a restore destination, and/or perform garbage collection on slots of objects storing data unique to a volume group backup to delete.

Abstract: One or more techniques and/or computing devices are provided for managing an arbitrary set of storage items using a granset. For example, a storage controller may host a plurality of storage items and/or logical unit numbers (LUNs). A subset of the storage items are grouped into a consistency group. A granset is created for tracking, managing, and/or providing access to the storage items within the consistency group. For example, the granset comprises application programming interfaces (APIs) and/or properties used to provide certain levels of access to the storage items (e.g., read access, write access, no access), redirect operations to access either data of an active file system or to a snapshot, fence certain operations (e.g., rename and delete operations), and/or other properties that apply to each storage item within the consistency group. Thus, the granset provides a persistent on-disk layout used to manage an arbitrary set of storage items.

Abstract: A backup system stores recipes during backup file creation when virtual synthetic backups are used, where a recipe comprises a specific sequence of steps used to generate the backup file. Replication logic of the backup system replays the recipe to generate the same backup file on the backup target so that an old backup combined with new backup data comprises the recipe. Embodiments of a server-side group fingerprint system include a process to auto-generate recipes for server resident files by formulating a file as a series of L1 fingerprints which are in turn a set of L0s and GFPs where some of the L1s are shared with other files. The recipe can be used to convert the representation of the file from a native fingerprint based representation into a virtual synthetic format.

Abstract: A computerized method, system for, and computer-readable medium operable to: retrieve program details data about at least one media program. Retrieve social media posts involving the at least one media program. Match the retrieved program details data with the retrieved social media posts to find matching locations. Store time offset data corresponding to the matched locations within the at least one media program into at least one micropost. Rank the at least one media program by the number of microposts corresponding to the at least one media program. Present the at least one media program, each of the at least one media program with at least one micropost, wherein the at least one micropost comprises a link to the original social media page hosting the social media post and a video deeplink that plays a time off-set video, the time off-set video starting from the stored time offset data.

Abstract: Making inline deduplicated backups of protected data using group fingerprints resident in a storage server by generating group fingerprints on a storage server for a backup client that is not capable of using group fingerprints, from individual fingerprints generated for each segment of protected data divided into variable size segments and then grouped together. Each fingerprint comprises a signature for a respective data segment. The method further maintains the group fingerprints for files resident on the storage server, compares, in the storage server, respective group fingerprints for these files with a new backup file to be backed up from the backup client to determine duplicated data between these files, and converts the new backup file to a virtual synthetic backup during a backup time of the new file.

Abstract: The techniques disclosed herein enhance the efficiency and functionality of directory systems. This is accomplished by augmenting a primary table with an extended table for storing properties of an associated entity (e.g., a user, a company). A table serves to organize directory data and comprises rows and columns. Each row of the primary table stores an entity with each column storing an associated property. In contrast, the primary table is configured with an extended table in which each row of the extended table stores a property for an associated entity while each column stores additional information for the property such as timestamps and metadata. Storing specific properties in the extended table eliminates empty spaces in the primary table thereby reducing the volume of stored data. Moreover, by including additional data for properties, the extended table enables property-specific features such as search, synchronization, extensibility, and lifecycle management.

Abstract: A method for performing a restore operation includes identifying a full backup associated with a first client device nearest a target restore time. The method further includes identifying a set of log backups that includes a first log backup that encompasses the target restore time and all log backups between the full backup and the first log backup. The method also includes identifying a target volume to which the full backup and all log backups are to be restored, and the target volume is on a second client device separate from the first client device. Moreover, the method includes restoring the full backup and the set of log backups to the target volume. In addition, the method includes mounting, after the restoring, the target volume to a target file system. Further, the method includes performing a native client restoration mechanism to the target restore time using the target file system.

Abstract: Embodiments described herein provide systems and methods to streamline the mechanism by which data users access differently regulated data through the use of one or more integrated identifiers. The integrated identifiers lessen or eliminate the need to separately maintain one set of identifiers for regulated data and another set for non-regulated data. The methods and systems may be applicable in various credit and healthcare contexts where regulations over data use are prevalent. In one or more embodiments, a data user receives a unique integrated identifier for each of the data user's current or prospective customers, and the integrated identifiers can be used to persistently identify and track the customers over time and across applications that access regulated and/or non-regulated data. In the healthcare context, a healthcare provider may utilize a patient ID as the integrated identifier. To protect privacy, the integrated identifier may not include social security numbers or birthdates.

Abstract: A method and system for managing execution of database transactions are provided. The method includes receiving at least one statement that is a part of a transaction, wherein the transaction is initiated by a client to be executed on a database system; executing tasks included in each of the at least one received statement in an optimistic manner, wherein the received at least one statement is not a commit statement; and returning the client an acknowledgement that the transaction is committed, wherein the acknowledgement is returned upon validation of the transaction, wherein the transaction is validated in a pessimistic manner, and wherein the at least one received statement is a commit statement.

Abstract: An apparatus and method for providing a performance data output for a user is provided. Apparatus may include a computing device including a processor, which may receive a user datum and generate an interface query data structure including at least a query including an input field based on the user datum. The interface query data structure may configure a remote display device to display the input field to the user, receive at least a user-input datum into the input field, retrieve data describing attributes of the user from a database communicatively connected with the processor, and refine the interface query data structure based on data describing attributes of the user from the database. The processor may use a machine learning model including a classifier to correlate the user datum to the interface query data structure and data multipliers into a list and accordingly generate a strategy data.

Abstract: Embodiments of a targeted deduplication process that splits protected data into variable size segments, generates a fingerprint for each segment, and then combines fingerprints into groups to form group fingerprints. An embodiment auto-generates and persists the group fingerprints for the backups which are already on the storage server, thus enabling the backup client to fetch these fingerprints using an identifier and enforce synthesis for the new backup or replication copy against any previously written backup. For this embodiment, group fingerprints are generated on the storage server itself, rather than being generated on and pushed from the backup client for mere storage on the storage server, so that, as files are ingested, the storage server also auto-generates group fingerprints on its own.

Abstract: A method for providing user-customized information is disclosed. The method for providing user-customized information can provide information suitable for a user's situation by: obtaining information on a location where a terminal is located, and information on the time when the location information was obtained; obtaining situation information of a user of the terminal predicted on the basis of the location information and the time information; and requesting, to a server, situation-adaptive information corresponding to the user's situation on the basis of the obtained situation information of the user, pre-stored profile information of the user, and state information of the terminal at a time when the location information is obtained so as to obtain the situation-adaptive information from the server.

Abstract: Embodiment herein provides a method for classifier based constraint management. The method comprises creating a constraint graph database comprising a plurality of constraint classes associated with a plurality of Application program interfaces (APIs); receiving a request to perform at least one operation associated with at least one entity; determining at least one constraint class from the plurality of constraint classes based on the information about the at least one entity to perform the at least one operation; invoking the at least one API from the plurality of APIs based on the at least one constraint class to access the plurality of constraints associated with the at least one constraint class; and performing the at least one operation associated with the at least one entity based on the plurality of constraints associated with the at least one constraint class and the information about the at least one entity.

Abstract: Search-result explanation systems, methods, and computer-program products receive a user search query, expand the search query into a plurality of sub-queries, perform a database search using the expanded user search query, and determine which sub-queries of the plurality of sub-queries matched with a particular search result. Results from the database search are re-indexed in an index generated on-the-fly and in-memory, within which the results are searched using the sub-queries to determine matching fields and match types. A score is determined based on the type of match(es) with a particular search result based on one or more predefined weights and normalized using a denominator comprising a fictitious, on-the-fly record configured to receive a perfect score according to the received user search query. A user interface showing ranked results and explanations for the ranking, including a score for the result based on the expanded user search query.

Abstract: Systems, devices, and methods of the present invention are related to determining a document classification. For example, a document classification application generates a set of discourse trees, each discourse tree corresponding to a sentence of a document and including a rhetorical relationship that relates two elementary discourse units. The document classification application creates one or more communicative discourse trees from the discourse trees by matching each elementary discourse unit in a discourse tree that has a verb to a verb signature. The document classification application combines the first communicative discourse tree and the second communicative discourse tree into a parse thicket and applies a classification model to the parse thicket in order to determine whether the document is public or private.

Abstract: A data archiving method includes: finding, in local space when an archiving task for a target block header exists, current state trees of block headers, the current state trees including a current state tree that the target block header points to and a current state tree that a first block header before the target block header points to; reconstructing new state trees according to the found current state trees, node reuse information between the current state trees, and target state data corresponding to a second block header after the target block header; and archiving the current state trees stored in the local space to a target archiving server, and deleting the current state trees in the local space after successful archiving.

Abstract: One example method includes by a data source entity, querying a data storage entity to determine if it has adequate under-utilized resources to perform a portion of a data seeding process. When the data storage entity indicates to the data source entity that the data storage entity has adequate unused resources to perform the portion of the data seeding process, initiating, by the data source entity, the data seeding process, and the data seeding process includes transmitting data from the data source entity to the data storage entity for storage in a temporary file at the data storage entity, and the data that is transmitted is data that was targeted to be protected by a data protection process. Finally, the data protection process may be performed so that only data not already present at the data storage entity is transmitted by the data source entity to the data storage entity.