Abstract: Systems and methods for search result replication in a search head cluster of a data aggregation and analysis system. An example method may comprise maintaining a replication count in a data store associated with at least one of the plurality of search heads, the replication count corresponding to how many of the replicas of the search result are stored in the search head cluster, determining that the replication count is greater than a target replication count, based on determining that the replication count is greater than the target replication count, initiating a deletion of at least one replica of the replicas of the search result from a target search head of the plurality of search heads storing the replicas, receiving an indication that the deletion is complete, and based on receiving the indication that the deletion is complete, decreasing the replication count corresponding to the search result.

Abstract: Methods and apparatus are provided to fully process an initially incomplete replicated and committed transaction. A transaction pattern table is provided that includes a plurality of records, each record being defined by a transaction pattern identifier. Each record includes a transaction pattern and a metric of occurrence of the transaction pattern. An incomplete transaction is automatically compared to the transaction patterns in the table and a subset of transaction patterns in the table are identified that are potential candidates for matching the incomplete transaction. The incomplete transaction is categorized using the metric of occurrence of the transaction pattern for each transaction pattern in the subset. The categorization predicts when all steps or operations of the transaction which have completed in the source database have been replicated, and the incomplete transaction is committed based on this prediction.

Abstract: An intuitive interface that allows a non-technical person to search a computer database without having to understand the underlining database software or its structure by assembling a graphical database query.

Abstract: This disclosure describes, in part, techniques for performing automatic document analysis. For instance, one or more computing devices may obtain a plurality of documents for analysis. The one or more computing devices may then analyze the documents to determine a respective comparative breadth score representing a breadth of each document, a respective comparative portion count score representing a number of documents portions included in each document, and a respective comparative differentiation score representing differentiation between the documents portions included in each document. In some instances, the one or more computing devices determine each of the scores based on comparing the respective breadth, respective number of document portions, and respective differentiation for each of the documents under analysis. The one or more computing devices can then determine a comprehensive score for each document using the respective scores, and generate a user interface that includes the overall scores.

Abstract: The present disclosure relates to a digital asset synchronization system that provides improved digital asset management and synchronization of a digital asset stored either within a component database or a packaged file. For example, the digital asset synchronization system enables a set of components that makes up a digital asset to appear as a singular packaged file, while also maintaining the benefits of having the digital asset made up of the components. In this manner, the digital asset synchronization system provides a bridge between a digital asset stored in a packaged file format and conventional file formats. In addition, the digital asset synchronization system also provides digital asset management and improved synchronization between a client device and a cloud storage system.

Abstract: According to an embodiment, there is provided a method for data mining from core traces in a processing system for wireless baseband design that includes detecting a core trace in the processing system where the core trace is a sequence of instructions executed in the processing system. Instruction addresses in the core trace are mapped to a plurality of application or operating system functions. The mapped functions are sorted into a hierarchical format. A gene function is identified in the hierarchical format where the gene function is a fundamental function executed by the processing system. Attributes for the gene function are derived from the hierarchical format. The attributes are stored into a gene function library database.

Abstract: Embodiments for, in an object storage environment, managing data replication between first and second sites of a distributed computing environment by one or more processors. A first pass metadata hash is calculated for each of the objects in an object-set that is subsequently transferred from the first to the second site. Responsive to the second site, a second pass metadata hash is calculated for remaining objects of the object-set that are identified by the second site at a sub-object level using a predetermined size.

Abstract: Presented herein are methods, non-transitory computer readable media, and devices triggering a metadata recovery process within a network storage system, which include: dividing metadata into metadata segments, wherein each of the metadata segments is tasked to perform a specific file system operation function, validating each of the metadata segments during the specific file system operation function; upon failure to validate at least one of the metadata segments, triggering an automatic repair process while maintaining the operation function tasked to the metadata segment, and upon finalizing the automatic repair process, resuming the specific file system operation function tasked to the metadata segment.

Abstract: Methods and apparatuses for generating insights for improving an organization from unstructured and structured data. Natural language processing is employed to process the aggregated data from various data sources to create topics and the features that impact the topics. These topics are then used to generate recommendations to improve customer satisfaction with the organization.

Abstract: Methods, systems, and computer readable media for performing metadata-driven data collection are disclosed. In some examples, a method includes receiving a request for system status data for components of a distributed computing system while the distributed computing system is in operation. The request includes metadata specifying a data collection sequence for collecting component-level system status data. The components include compute components, network components, and storage components. The method includes obtaining, using the metadata, the component-level system status data by querying protocol-based data collectors in an order, one after the other, as specified by the data collection sequence specified by the metadata. The method includes assembling the component-level system status data into assembled status data and storing the assembled status data in memory and/or a repository.

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

Abstract: A method of automatically generating content summaries for topics includes receiving a taxonomy for a concept and a text corpus. The method further includes generating an annotated dataset having term annotations corresponding to the concept from the text corpus based on the taxonomy, parsing the annotated dataset into a custom generated document object having a structured layout, determining features for the term annotations, and extracting snippets from the custom generated document object, where each of the snippets corresponds to a section of the custom generated document object. The method further includes scoring the snippets based on the features such that each of the snippets corresponds to a score, filtering one or more snippets from the snippets when one or more snippet filtering conditions is met, ranking the snippets into an ordered list for the concept based on the score, and providing, to a user computing device, the ordered list.

Abstract: Systems and methods for generating concept-based search summaries from a plurality of documents are provided. In one embodiment, a system may include interfaces to receive information identifying a meaning taxonomy including a normalized term and a search query including search terms. The system may be configured to identify documents relating to the search terms and normalized terms and display a concept-based summary of the documents, the summary including a syntactic structure associated with the normalized terms and search terms. In another embodiment, a method includes receiving a meaning taxonomy including normalized terms and search terms, identifying at least one document including the search terms and syntactic structures associated with the normalized terms, and display a search summary including the search terms and syntactic structures.

Abstract: In a production environment, an entry is logged in a log journal to represent a read operation on a record of a file. A problematic transaction in a batch job is selected and set of operations performed by the problematic transaction is intercepted. The set includes a combination of read, write, update, delete operations, and operations that use external resources. A window of entries is determined in the log journal where the entry is a beginning entry in the window and an ending entry is a last entry captured in the log journal before detecting the error. From the window, those entries are filtered that correspond to the record. A final value of the record is copied from the production environment to a development environment and rolled back in the development environment to an initial value stored in the beginning entry. The problematic transaction is performed in the development environment.

Abstract: Techniques are presented herein for efficient query processing and data change propagation at a secondary database system. The techniques involve determining execution costs for executing a query at a primary DBMS and for executing the query at an offload DBMS. The cost for executing the query at the offload DBMS includes the cost of propagating changes to database objects required by the query to the offload DBMS. Based on the execution cost, the query is sent to either the primary DBMS or the offload DBMS.

Abstract: Various examples are directed to systems and methods optimizing database queries. A database management system may receive a first query comprising a plurality of query expressions. The database management system may determine that a first expression of the first query is nullable and that the first expression is null preserving. The database management system may generate optimized query code for the first query. The optimized query code may comprise a first code segment and a conditional jump instruction. The first code segment that, when executed by a processor, may cause the processor to perform operations comprising determining a value of the first expression. The conditional jump instruction may, when executed by the processor, cause the processor to perform operations comprising: skipping execution of at least a portion of the first code segment and returning null for the first expression.

Abstract: This disclosure relates to method of extracting an information associated with design of formulated products and representing as a graph. A graph domain model of a plurality of vertices, and at least one formulation text as text file are received as an input. The information extraction is applied to identify at least one sentence and extract at least one subject-verb-object triple from every sentence of the at least one formulation text. A sentence including an ingredient listing and associated weights indicated by presence of weight numerals, and a sentence including at least one verb from the at least one subject-verb-object based on the graph domain model are classified. A representation of the recipe text is generated in terms of at least one action, ingredients on which the at least one action is performed, and condition. An insert query string is generated and executed to store the formulations as the graph.

Abstract: Computer implemented methods for database hierarchy-independent data drilling are presented including: a. selecting one of at least two database structures each having data, where the at least two database structures include, at least two distinct paths that lead from a first of the at least two database structures to a second of the at least two database structures, where a path logically relates at least two data structures which are otherwise directly unrelated using data structures and data structures' relations, and a database information schema that provides information about the at least two database structures including information regarding relations between data structures; b. setting the selected database structure as a current data drilling state; and c. finding at least one related data structure corresponding with the selected database structure for the current data drilling state utilizing the database information schema.

Abstract: While connected to cloud storage, a computing device writes data and metadata to the cloud storage, indicates success of the write to an application of the computing device, and, after indicating success to the application, writes the data and metadata to local storage of the computing device. The data and metadata may be written to different areas of the local storage. The computing device may also determine that it has recovered from a crash or has connected to the cloud storage after operating disconnected and reconcile the local storage with the cloud storage. The reconciliation may be based at least on a comparison of the metadata stored in the area of the local storage with metadata received from the cloud storage. The cloud storage may store each item of data contiguously with its metadata as an expanded block.

Abstract: A system, method and apparatus for storing metadata in a metadata store in a robust and efficient manner including receiving a request from a client to perform a data transaction, updating a key-value pair in a metadata store based on the request, entering the data transaction in a transaction log, replicating the last transaction log entry in at least one other storage node in the metadata store and, in response to a threshold event, migrating a first portion of the transaction log from the a data storage medium to a second data storage medium of each of the plurality of data storage nodes.