Abstract: A resource tagging service allows resource tags to be created and associated with computing resources in a service provider network. The resource tags can be utilized to search, collect, filter, organize and otherwise manage computing resources in the service provider network having matching tags, and/or to perform other types of functionality. A resource groups service allows customers and/or other users of the service provider network to view and access collections of computing resources that share common resource tags and/or other attributes. Resource groups can also be evaluated in order to identify computing resources in a service provider network for which certain types of actions or other functionality is to be performed. Membership of resource groups can also be evaluated over time and inferences can be drawn from the membership and from operational information associated with the member computing resources.

Abstract: A data processing system is configured to augment a request for data. The data processing system includes a recommendation engine configured to receive, from a client device over a network, interaction data related to a user interaction with one or more data sources, generate extracted data that includes one or more portions of at least one resource of the one or more data sources. The extracted data is generated based on the interaction data. The data processing system parses the extracted data to identify one or more metrics of the extracted data, and retrieves, from the one or more data sources, the additional data based on the metric. A results compiler is configured to receive a request for data from the client device, and responsive to the request, send the additional data to the client device for presentation.

Abstract: A computer-based system and method for classifying users of a database including obtaining an activity rate time series describing activity level of a database user versus time, extracting features from the activity rate time series, the features including a measure of repetition in the activity level, mean activity load and a percentage of the time in which the user is active, and determining a type of the database user based on the extracted at least one feature. The measure of repetition in the user activity is calculated by performing a Fourier transform on the activity rate time series to produce a transformed series; detecting spikes in the transformed series; and measuring a percentage of information in the transformed series which is included in the spikes.

Abstract: The present invention may be embodied in a natural language processing system that conducts user interaction to identify and refine requests for data analyses, and automatically conducts data mining and prepares data visualizations in response to natural language queries. Similarly natural language processing system can be utilized for updating business system data in response to natural language requests. The system greatly improves the ease of use, intuitiveness, variety, and responsiveness of the data analytics system by converting natural language requests into requests for data analyses. This allows a much wider range of users to conduct commercially relevant data analytics without relying on specialists in the field data analytics specialists and at much lower cost than the conventional approach.

Abstract: A system displays summaries of relationships of a selected data asset with other data assets at a limited number of levels upstream and downstream from the selected data asset in rows above and below the selected data asset. In each row, data assets are arranged in order of usage, with most used data asset displayed directly above or below the selected data asset. The user views grandparent-level data assets of a parent-level data asset that is directly above the selected data asset. The system includes a carousal feature to further navigate the lineage data upstream or downstream. By selecting a new data asset in the parent row, the user can view grandparent-level data assets of the newly selected data asset. The user can view multiple upstream or downstream levels arranged in respective rows displayed above or below the selected data asset. The system can analyze data from any application.

Abstract: The present invention provides a novel approach to matching personality traits, as determined through observational or self-assessment reporting in combination with specific loci and identifiable variations within an individual's nucleotide sequence in the form of SNPs. The present invention further utilizes an individual's cyber footprint, in combination with SNPs and traditional assessment and self-assessment techniques, to define a testing and reinforcement mechanism for strengthening the interdependence and accuracy of each type of reporting in order to bolster the reliability of each alone and in combination.

Abstract: In a storage system, processing related to data replication includes associating first control information with a logical volume and a snapshot and second control information with data on a pool volume. Data of the logical volume and the snapshot is managed by associating the first control information with the second control information. A time series of the logical volume and one or more snapshots is managed using generation information associated with the first control information, for each piece of data on the pool volume. Generation information indicating a generation in which the data is created is managed in association with the second control information. Invalidation of the first and second control information asynchronously with a processing of data related to the logical volume and the snapshot is executed. Whether the invalidation is possible is determined by referring to the generation information associated with the first and second control information.

Abstract: Introduced here is an approach to further refining an initial set of target locations that can serve as inputs to machine learning mechanisms. These target locations may refer to unique molecular positions in a reference human genome and/or mutations thereof that are diagnostically relevant for a given cancer type. The system can implement a refinement mechanism to account for unnecessary or problematic data, such as consecutive/overlapping patterns, non-uniform read counts, insufficient data quality, internal processing noises, and/or insufficient data counts.

Abstract: Methods for centralized access control for cloud relational database management system resources are performed by systems and devices. The methods utilize a central policy storage, managed externally to database servers, which stores external policies for access to internal database resources at up to fine granularity. Database servers in the processing system each receive external access policies that correspond to users of the system by push or pull operations from the central policy storage, and store the external access policies in a cache of the database servers for databases. For resource access, access conditions are determined via policy engines of database servers based on an external access policy in the cache that corresponds to a user, responsive to a resource access request from a device of the user specifying the internal resource. Data associated with the resource is provided to the user based on the access condition being met.

Abstract: A method for administration through files in a storage cluster is provided. The method includes distributing user data, including files, throughout a plurality of storage nodes having non-volatile solid-state memory, through erasure coding. The plurality of storage nodes are housed within a single chassis that couples the storage nodes as the storage cluster. The method includes receiving at the storage cluster a command to write a file or read a file, the file having a filename. The method includes determining whether the filename is reserved and determining an administrative action according to the file, responsive to determining that the filename is reserved. The method includes initiating the administrative action. A storage system is also provided.

Abstract: Systems and methods are provided for retrieving first query result data associated with a first user account and rendering the first query result data into a first result item, generating a shareable search result stream comprising the first result item associated with the first user account, retrieving second query result data associated with a second user account and rendering the second query result data into a second result item, adding the second result item to the shareable search result stream associated with the first user account, and providing the sharable search result stream comprising the first result item and the second result item to a first computing device associated with the first user account and a second computing device associated with the second user account.

Abstract: Resource provisioning systems and methods are described. In an embodiment, a system includes a plurality of shared storage devices collectively storing database data, an execution platform, and a compute service manager. The compute service manager is configured to determine a task to be executed in response to a trigger event and determine a query plan for executing the task, wherein the query plan comprises a plurality of discrete subtasks. The compute service manager is further configured to assign the plurality of discrete subtasks to one or more nodes of a plurality of nodes of the execution platform, determine whether execution of the task is complete, and in response to determining the execution of the task is complete, store a record in the plurality of shared storage devices indicating the task was completed.

Abstract: A system and method is disclosed for providing data staging and loading through a master data management (MDM) system coupled with one or more business entities. The system is operable to invoke batch data loading of data associated with one or more source systems associated with the one or more business entities, into an input staging area. The system is further operable to load the data from the input staging area into a master repository and subsequently load the data from the master repository into an output staging area.

Abstract: A data processing system is configured to augment a request for data. The data processing system includes a recommendation engine configured to receive, from a client device over a network, interaction data related to a user interaction with one or more data sources, generate extracted data that includes one or more portions of at least one resource of the one or more data sources. The extracted data is generated based on the interaction data. The data processing system parses the extracted data to identify one or more metrics of the extracted data, and retrieves, from the one or more data sources, the additional data based on the metric. A results compiler is configured to receive a request for data from the client device, and responsive to the request, send the additional data to the client device for presentation.

Abstract: A method includes receiving, by a logic layer processor, over a communication network, from a plurality of electronic resources, initial user personal identifiable information (PII) of a user of a plurality of users. The user PII includes a plurality of data elements. The plurality of data elements of the initial PII of the user are classified to populate a profile map data structure having a standardized predefined data schema of a plurality of vector elements so as to form a user-specific profile map data structure of the user. Additional user personal identifiable information (PII) of the user is iteratively received from the plurality of electronic resources. The additional user PII of the user is iteratively classified to update the user-specific profile map data structure of the user. A plurality of user-specific data management software functions is enabled based on the user-specific profile map data structure.

Abstract: Semantic analysis to resolve ambiguous user input data with respect to a request for data includes identifying tokens based on the text string, identifying a tables in a database, wherein a token indicates a column from a table and a token indicates a column from another table, identifying candidate join paths for joining tables, obtaining respective candidate results using the candidate join paths, outputting combined candidate results including values from the respective candidate results, obtaining second user input data indicating a selected value, identifying the request for data as unambiguous and identifying a selected join path based on the selected value, and, in response to identifying the request for data as unambiguous, outputting data responsive to the request for data using the selected join path.

Abstract: Novel tools and techniques are provided for implementing data storage and/or retrieval, and, more particularly, for implementing data associations. In various embodiments, an associations rules engine might query data aggregation data services to determine whether a first data object (which along with a first relationship rule that indicates a one-to-one relationship between the first data object and a corresponding second data object) is associated with one or more third data objects; might abstract the first data object, the first relationship rule, and the one or more third data objects; might update, in a metadata catalog, a catalog entry corresponding to the first data object with one or more associations among various data objects; and might provide a requesting computing system with access to the catalog entry corresponding to the first data object, the computing system performing one or more computational tasks using the associations stored in the catalog entry.

Abstract: A method, system and computer program product for aggregate query optimization. A dataset with plurality of values divided into dimensions and measurements is received. Pre-calculated values obtained by aggregates of measurements' values respective of plurality of combinations of dimensions' values are calculated and stored for one or more aggregate measurements of interest. Responsive to an input received of a first set of one or more dimensions and a second set of one or more aggregate measurements of interest, an aggregate result value of a respective member of the second set is calculated and outputted by retrieval of the pre-calculated value therefor respective of members of the first set.

Abstract: Methods for evaluating microsatellite instability (MSI) analyze nucleic acid sequence reads corresponding to a plurality of marker regions for MSI. The marker regions may include long homopolymers and/or short tandem repeats (STRs). For a target homopolymer, a histogram of homopolymer signal values is calculated based on flow space signal measurements for the homopolymer region in the sequence reads. A score per marker based on features of the histogram of homopolymer signal values is determined for each marker region corresponding to the target homopolymers. For a target STR, the method includes calculating a histogram of repeat lengths for sequence reads corresponding to the marker region of the target STR. A score per STR marker is calculated based on features of the histogram of repeat lengths. A plurality of per marker scores may be combined to form a total MSI score for the sample.

Abstract: Provided are a search method and apparatus, and an electronic device and a storage medium. The method comprises: receiving a generic query search request, the generic query search request carrying a generic query term; acquiring at least one multimedia content card corresponding to the generic query term, wherein each multimedia content card corresponds to an extension tag corresponding to the generic query search request, each multimedia content card comprises information of a plurality of multimedia content sets; and presenting information of the plurality of multimedia content sets comprised in each multimedia content card of the at least one multimedia content card. Search results related to a generic query term can be clustered from various dimensions and presented, such that a user can directly find content related to a search intention of the user, thereby improving the search efficiency and shortening a search path.