Abstract: A system for optimizing data requests in an electronic data storage environment may be configured to receive and identify data requests to perform operations on data stored in a data storage environment. The system may further to implement tuning algorithms on the data requests upon identifying that the data requests are causing the data storage environment to perform below optimal performance. The present invention may be implemented as a system, a computer program product, or a computer-implemented method.

Abstract: Techniques for accessing implicit information that is used by, but not explicitly persisted in, a computer system are disclosed. In some embodiments, a method comprises: storing a schema for a relational database, the schema indicating relationships between tables of the relational database; persisting explicit data concerning a data subject in at least one of the tables; processing the explicit data using a software application, the processing of the explicit data comprising: inferring implicit information based on the explicit data and the schema; and using the implicit information by the software application; receiving a request for a report of personal data concerning the data subject; and in response to the request, generating the report, the generating of the report comprising: inferring the implicit information based on the explicit data and the schema; and including the explicit data and the implicit information in the generated report.

Abstract: Techniques are described for querying on hybrid formats and storages by a DBMS to leverage faster mirror format (MF) data and completeness of persistent format (PF) data. In an embodiment, the DBMS receives a query that specifies both in-memory and disk-only columns. The DBMS identifies that a scan-based operation is referencing an in-memory column stored within both MF and PF data. The DBMS may initiate performing the operation on the in-memory column on one of the formats of data. While doing so, the DBMS may determine that the actual improvement metric for the operation on the selected format data is not achieving the desired improvement. If so, the DBMS may dynamically switch the performing of the scan-based operation to the other format of the same data.

Abstract: A method, a system, and a computer program product for rewriting queries. A received query is parsed into a plurality of subqueries, where each subquery has one or more query elements. One or more identical subqueries are identified and grouped into one or more groups. Based on the groups of subqueries, an alias parameter is assigned to each identical subquery. The identical subqueries in the received query are replaced with corresponding aliases. An expression language statement is generated based on the received query, where each identical subquery is replaced with the corresponding assigned alias parameter in the expression language. The generated expression language statement is executed.

Abstract: An information processing device includes a processor programmed to: determine whether a character string indicating a reference to target information is recorded in a range within a document, the target information corresponding to a keyword in the document, the range being determined based on a position of the keyword in the document; and extract the target information upon a determination that the character string is recorded in the range.

Abstract: Described herein are a system and techniques for increasing the efficiency of generating a result set for a query. In some embodiments, the techniques may involve performing computations on a high-level element, sorting, and selecting a set of the high-level elements, and recursively repeating the process on sub-elements of the set of the high-level elements. The process may be recursively repeated until a specified level of granularity is reached. This may significantly decrease the number of computations that need to be performed, increasing the speed with which queries can be performed. In some embodiments, the process may involve identifying elements which may be highly correlated to optimal computation results and may add those elements to the result set to improve the accuracy of the result set.

Abstract: Concepts and technologies disclosed herein are directed to automated control loop searching (“ACLS”). According to one aspect disclosed herein, an ACLS system can create a search model that provides high-level information regarding what the ACLS system should search for when a search pattern is detected within data that is output from execution of a control loop. The ACLS system can activate a control loop system that executes the control loop to yield the data as output. The ACLS system can detect the search pattern within data, and in response, the ACLS system can execute, based upon the search model, a search of the data. The ACLS system can collect search results of the search and select additional data from the search results.

Abstract: Embodiments are generally directed to area-efficient implementations of graphics instructions. An embodiment of an apparatus includes one or more processors to process data, including generating multiple sets of data including at least a first data set and a second data set for a data application; a memory for the storage of data; and a delta compression engine, the delta compression engine being operable to perform a selected delta compression operation on the generated plurality of sets of data. The delta compression operation includes multiple orders of delta compression to be performed on the second data set based on differences with the first data set, the orders of delta compression including a first order delta and a second order delta. Each of the orders of delta compression includes one of multiple data encoding processes, the data encoding processing including a first data encoding process and a second, different data encoding process.

Abstract: A sub-process sequence is identified from a temporal dataset. Based on time information, predictors are categorized as being available or not available during time periods. The predictors are used to make predictions of quantities that will occur in a future time period. The predictors are grouped into groups of a sequence of sub-processes, each including a grouping of one or more of the predictors. Information is output that allows a human being to modify the groups. The groups are finalized, responsive to any modifications. Prediction models are extracted based on dependencies between groups and sub-processes. A final predication model is determined based on a prediction model from the prediction models that best meets criteria. A dependency graph is generated based on the final prediction model. Information is output to display the final dependency graph for use by a user to adjust or not adjust elements of the sequential process.

Abstract: Embodiments of the present disclosure provide techniques for emitting structured and dynamic fields from an accelerated data model. The method comprises evaluating a query to search a data model, wherein the data model is defined by a set of events and at least one structured field from fields associated with the set of events. Each event comprises a time-stamped portion of raw machine data and is stored in a field searchable data store. A summarization table is associated with the data model and comprises a plurality of entries comprising reference values, wherein a respective summarization table entry comprises: the at least one structured field; a respective field value; and a reference value.

Abstract: A mobile device receives media files, and automatically tags each of the media files with tags, comprising data or meta-data, based on: 1) other mobile users proximate to the mobile device, 2) a current location of the mobile device, 3) facial recognition analysis applied to each of the first media files, 4) subject or content recognition analysis applied to each of the first media files, 5) a current date, and/or 6) a usage history associated with each of the first media files. The mobile device stores the tagged media files, and receives a user request to search the media files. The mobile device searches the tags, responsive to the user request, to generate a filtered set of media files, and presents the filtered set of media files to a user of the mobile device.

Abstract: Briefly, embodiments of a system, method, and article for transmitting, from a first application, a query for a domain entity associated with a second application. A transformation microservice may receive change data indicating modifications to the domain entity associated with the second application. The second application may execute the query on data for the domain entity associated with the first application and may generate a first output file with query results. The transformation microservice may execute the query on the change data for the domain entity associated with the second application and generating a second output file with query results. The first output file and the second output file may be sent to a comparison microservice. The comparison microservice may determine whether there are differences between the query results of the first output file and the second output file.

Abstract: Operations include estimating, in real time, a runtime of a query. The query optimization system receives set of query definitions for defining a target query. The system uses the set of query definition elements to determine an estimated runtime for the target query. If the estimated runtime exceeds some acceptable threshold value, then the system determines a modification to the set of query definition elements. The system uses the modification to generate a modified query, corresponding to a lower estimated runtime.

Abstract: Various embodiments restrict or enable access to content items of an account based on login information or content request properties. For example, a synchronized online content management system can receive a request including one or more content request properties from a client device to access a user account. Access rules for the user account can be obtained and applied based on the content request properties to generate an access status. In one instance, the client device is provided with full account access if the access status indicates that the client device is an authorized device. In another instance, if the client device is an unauthorized device, at least one aspect of access to the user account is restricted.

Abstract: A method includes receiving a first post from an electronic source including first content; determining a source identifier; determining an attribute for the source by broadcasting the first post to a first plurality of filter graph definitions configured to identify attributes of sources according to the respective filter graph definition; and storing in memory, as a source profile identified by the source identifier for the source, the attribute for the source; receiving a second post from the source including second content; determining a source identifier; using the source identifier, querying the memory to access the source profile; correlating the second post with attributes of the source stored in the source profile to produce a correlated second post; and broadcasting the correlated second post to a second plurality of filter graph definitions configured to identify posts with high value information according to the respective filter graph definition.

Abstract: A method can include storing information about the business service in one or more template type layers; storing information about an instance of the business service in one or more instance type layers; wherein the template type layers include one or more checkpoints that reference information stored in a content addressable store that defines an expected structure of the business service, wherein at least one checkpoint of the template type layers includes a timestamp and a hash value associated with an entry in the content addressable store; and wherein the instance type layers include one or more checkpoints that reference information stored in the content addressable store that defines attributes of the instance of the business service, wherein at least one checkpoint of the instance type layers includes a timestamp and a hash value associated with an entry in the content addressable store.

Abstract: Methods for cardinality estimation feedback loops in query processing are performed by systems and devices. A query host executes queries against data sources via an engine based on estimated cardinalities, and query monitors generate event signals during and at completion of execution. Event signals include indicia of actual data cardinality, runtime statistics, and query parameters in query plans, and are routed to analyzers of a feedback optimizer where event signal information is analyzed. The feedback optimizer utilizes analysis results to generate change recommendations as feedback for later executions of the queries, or similar queries, performed by a query optimizer of the query host. The query host stores change recommendations, and subsequent queries are monitored for the same or similar queries to which change recommendations are applied to query plans for execution and observance by the query monitors. Change recommendations are optionally viewed and selected via a user interface.

Abstract: Methods and systems for accelerated input data conversion include partially parsing an input data set to convert the data set from a first format to a second format in an intermediate output having at least one unparsed portion to quickly perform a majority of the conversion. The partial parsing operates on portions of the input data set having a size less than a threshold size and leaves portions of the input data having a size greater than the threshold size unparsed. The intermediate output is parsed to convert at least one unparsed portion from the first format to the second format in a final output to complete the conversion such that a combined parsing time of the partial parse of the input data set and the parse of the intermediate output is accelerated relative to a single-stage parsing.

Abstract: Methods, systems, and computer-readable storage media for calculating, for each operator in a set of operators, a set of costs, each cost associated with a data format and including a first segment indicating a cost of an operator to convert an incoming data format to an access format and a second segment indicating a cost based on a set of costs of one or more ancestors of the operator, a conversion cost, and a materialization cost, indicating, along the path within the query plan, a location representing execution of a conversion from a first data format to a second data format, the location being selected based on the sets of costs, and providing the query plan with the location for execution to generate a query result, wherein during execution of the query plan, conversion of data from the first data format to the second data format occurs at the location.

Abstract: Provided is a system, method, and apparatus for generating analytics with structured query files. The method includes the steps of generating at least one graphical user interface configured to receive query parameters from a user for querying transaction data, generating a request file based on the query parameters, the request file including a request definition object and a segment object, processing the request file to query at least one transactional database based at least partially on the request file, and generating a response file including transaction data based on a return from the query of the at least one database, the response file structured based on the request definition object from the request file.