Abstract: Performance of optimizations to correct duplicate, missing, or other user-induced errors in hierarchical data storage may be automated. Relationships between items may be used to determine whether a modification should be made to items. Once identified, a determination may be made as to whether the modification will impact query performance. If so, then permission may be obtained before the modification is made. If not, then the modification may be made automatically.

Abstract: Disclosed in a fast, compact, efficient, hardware agnostic, stateful data store that can universally store and track millions of stateful data objects, such as networking routing data (or any stateful data) in files for use in, for example, embedded applications. Stateful data objects can be tracked by a modified tree for updating and insert data objects into the stateful data store. The stateful data object can also be allocated additional space in memory for potential future data updates.

Abstract: A Blockchain ecosystem for verifying and maintaining integrity of data transactions based on distributed ledger. The system comprises: 1.) a decay control mechanism; 2.) a remote execution mechanism; and 3.) a security cryptographical key management sub-system.

Abstract: A distributed storage system includes non-volatile storage storing portions of a first object. The first object encompasses data having a first range of addresses and each portion includes data for a respective range of addresses that is a proper subset of the first range. A first data structure stores, for each portion, data indicating the respective range of addresses and a pointer to where the portion is stored. The first data structure includes a root tree and a set of trees ordered by creation data such that a last tree is most-recently created. The non-volatile storage stores received write data and a write buffer stores index data pointing to storage locations of the received write data. An index management system stores the index data from the write buffer into the last tree and, if the ordered set is empty, creates a tree in the ordered set before the storing.

Abstract: System and method are disclosed for enabling data synchronization with different cloud service providers. Semantics of provide data from the cloud service providers may be determined and captured in a data object—i.e. a provider data object. The provider data object may then be instantiated for individual cloud service providers for synchronizing data with a given cloud service provider. Provider data can be received from the given cloud service provider can be processed using the instance of the provider data object. Specific provider information can then be extracted from the received provider data according the semantics defined in the instance of the provider data object. The extracted provider information can then compared with provider information already stored in a database. When one or more differences are detected between the two, the received provider information can be saved to the database.

Abstract: A selective database rollback method includes identifying a table, identifying a root key, storing a target rollback date, retrieving schema information including keys, ordering the table, iterating over the table, storing the current table state, obtaining a transaction journal, and reverse-applying the transaction journal to generate an output file. A method for identifying database key includes iterating over a table's columns and rows, generating similarity metrics by comparing column-wise and/or row-wise data, and comparing the generated similarity metrics to a threshold value. A server includes a processor and a memory storing instructions that, when executed by the one or more processors, cause the server to identify a table, identify a root key, store a target rollback date, retrieve schema information including keys, order the table, iterate over the table, store the current table state, obtain a transaction journal, and reverse-apply the transaction journal to generate an output file.

Abstract: Systems and methods to intelligently optimize data collection requests are disclosed. In one embodiment, systems are configured to identify and select a complete set of suitable parameters to execute the data collection requests. In another embodiment, systems are configured to identify and select a partial set of suitable parameters to execute the data collection requests. The present embodiments can implement machine learning algorithms to identify and select the suitable parameters according to the nature of the data collection requests and the targets. Moreover, the embodiments provide systems and methods to generate feedback data based upon the effectiveness of the data collection parameters. Furthermore, the embodiments provide systems and methods to score the set of suitable parameters based on the feedback data and the overall cost, which are then stored in an internal database.

Abstract: An information processing apparatus includes: a memory configured to store data generated in a manufacturing line where a product is manufactured in a state in which the data is linked to information in a tree structure in which elements related to manufacture of the product assigned as nodes; and a processor configured to: determine, when data of a prototype is stored to the memory, whether information of an element out of the elements corresponding to an uppermost node out of the nodes is linked to the data of the prototype; link, when the information of the element corresponding to the uppermost node is not linked, as the information of the element corresponding to the uppermost node of the data of the prototype, information distinguishable from information of the element corresponding to the uppermost node linked to the data of the product; and store the data of the prototype.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for managing transaction requests in ledger systems.

Abstract: A method may include receiving a query input indicative of an identity of an industrial automation device and searching a database based on the query input to identify one or more workflow datasets corresponding to the identity of the industrial automation device. Each of the one or more workflow datasets may include one or more instructions associated with one or more operations of the industrial automation device and one or more virtual objects associated with the one or more instructions. The method may also include displaying one or more visualizations representative of the one or more workflow datasets via an electronic display of a computing device. Each of the one or more visualizations may receive an input that causes the computing device to receive at least a portion of a respective workflow dataset.

Abstract: An apparatus, a method, and a computer program product for obtaining map update data of a region are provided. The method comprises receiving a node identifier and a first node digest of an update candidate node; obtaining, based on the node identifier, a second node digest of the update candidate node; comparing the first node digest and the second node digest of the update candidate node; and generating, based on the comparison, the update data for the map database, the update data containing one of an indication of unchanged content; node digests of the child nodes of the update candidate node; or updated content corresponding to the update candidate node.

Abstract: Disclosed methods and systems improve search results by recency boosting customer support content for a customer self-help system associated with one or more financial management systems. The customer self-help system retrieves content relevance from a variety of sources, such as media outlets, taxation agencies and news feeds for the financial management system. The customer self-help system generates content relevance weights from the content relevance data, and applies the content relevance weights to customer support content maintained by the customer self-help system. In response to receiving a search query from a user, the customer self-help system provides relevant portions of customer support content that has been recency boosted (e.g., adjusted by the content relevance weights), to increase the likelihood that the customer support content provided to the user is relevant to the user's search query.

Abstract: An encrypted search uses hash vectorization (HV) models, which are secure, one-way hash indices that are produced by a compression process, such as a modeling phase of Lempel-Ziv (LZ) parsing. Each HV model includes a hash filter and a chain vector. The hash filter is a Boolean quotient filter similar to Bloom filters, and allows for the quick elimination of negative query assessments. The hash filter is followed by a chain vector, which provides spatial modeling of hashed elements throughout the compressed and encrypted data, thereby providing increased levels of accuracy, efficiency, and query expressiveness as compared with known techniques.

Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.

Abstract: For a query written for a first database, some embodiments provide a method of processing the query on a second database. From a client, the method receives the query written for the first database. The method performs an automated process to analyze properties of the second database to determine that the received query should be replaced by multiple queries to the second database. Based on the determination, the method generates multiple queries for the second database. The method individually forwards each generated query to the second database for execution.

Abstract: Aspects of the present disclosure relate to performing agnostic data integrity checks on source data, and based on the data integrity checks, generating a human-readable report that may be useable to identify specific errors or anomalies within the source data. Example embodiments involve systems and methods for performing the data integrity checks and generating the human-readable reports. For example, the method may include operations to ingest data from a source database through a data pipeline and into a local database, access the data from the data pipeline, determine a data type of the data, determine subtypes of data elements which make up the data, determine a count of each subtype, and generate a human-readable report, to be displayed at a client device.

Abstract: A system for frequent pattern mining uses two layers of processing: a plurality of computing nodes, and a plurality of processors within each computing node. Within each computing node, the data set against which the frequent pattern mining is to be performed is stored in shared memory, accessible concurrently by each of the processors. The search space is partitioned among the computing nodes, and sub-partitioned among the processors of each computing node. If a processor completes its sub-partition, it requests another sub-partition. The partitioning and sub-partitioning may be performed dynamically, and adjusted in real time.

Abstract: The present invention relates to a system and method of secure collaborative generation of an ontological databank on a blockchain. Ontology on a blockchain results in immutable records of contributions from one or more information contributors. Further, an approval system enables the ontology to remain uncorrupted and free of redundant information. Further, a system and method for accessing one or more data records from an ontological databank on a blockchain is provided wherein for each retrieval of data record, a corresponding information contributor is compensated for his contribution to the ontological databank.

Abstract: An example operation may include one or more of retrieving a snapshot of key values of a world state database, retrieving a hash of the snapshot from a blockchain associated with the world state database, determining whether the snapshot is valid based on the hash of the snapshot retrieved from the blockchain, and in response to determining the snapshot is valid, updating key values of a world state database based on the snapshot of key values.

Abstract: A method of managing a display of applications on a computing device can include identifying a plurality of contexts in which the computing device is used, each context being associated with (i) one or more signals and (ii) a plurality of applications. The method can also include detecting at least a subset of the signals during usage of the computing device and determining, based on the detected signals, that the computing devices is being used within a first context. The method can further include ranking, based on usage of the computing device, the applications associated with the first context. The method can still further include displaying, based on the ranking, representations of a first subset of the applications associated with the first context on a display of the computing device.