Abstract:
A method includes receiving, via a processor, a query comprising pathway variables and at least one evaluation time and determining an anchor set based on at least one of the pathway variables. The method also includes translating the pathway variables into a pathway algebraic expression based on the anchor set and the at least one evaluation time, and executing the pathway algebraic expression on a graph database to return a pathway set.
Abstract:
Methods, systems, and products characterize consistency of data in a stream warehouse. A warehouse table is derived from a continuously received a stream of data. The warehouse table is stored in memory as a plurality of temporal partitions, with each temporal partition storing data within a contiguous range of time. A level of consistency is assigned to each temporal partition in the warehouse table.
Abstract:
Concepts and technologies are disclosed herein for generating and using temporal metadata partitions. Metadata can be stored in temporal metadata partitions based upon a time range included in the metadata. Furthermore, metadata can be stored in multiple temporal metadata partitions to which the metadata is relevant. As such, metadata can be stored in manner that allows event data to be understood in the context of temporally accurate and/or relevant metadata. Functionality for executing queries of event data and providing results in view of metadata, as well as the merging of multiple temporal metadata partitions also are disclosed.
Abstract:
Concepts and technologies are disclosed herein for generating and using temporal metadata partitions. Metadata can be stored in temporal metadata partitions based upon a time range included in the metadata. Furthermore, metadata can be stored in multiple temporal metadata partitions to which the metadata is relevant. As such, metadata can be stored in manner that allows event data to be understood in the context of temporally accurate and/or relevant metadata. Functionality for executing queries of event data and providing results in view of metadata, as well as the merging of multiple temporal metadata partitions also are disclosed.
Abstract:
A method, computer readable medium and apparatus for managing a degree of parallelism of streams are disclosed. For example, the method analyzes wireless traffic to determine a profile of the wireless traffic, determines an amount of available processing resources, and manages the degree of parallelism of streams based on the profile and the amount of available processing resources in a probe server.
Abstract:
Concepts and technologies are disclosed herein for generating and using temporal data partition revisions. In some embodiments, a server computer can execute a data management application. The server computer can obtain a data partition associated with a data stream. The data partition can include a data point and a timestamp. The server computer can analyze the timestamp to determine if the data partition corresponds to an update of a base data record. If the server computer determines that the data corresponds to an update, the server computer can compute a revision comprising a delta and a timestamp and store the revision.
Abstract:
Architectures and techniques are presented that can more efficiently update derived data products in response to updated source data. Source data is typically stored in source tables, whereas a materialized view of a query can generate a derived table based on the state of the source tables at the time the query is executed. When source data changes (e.g., in response to late-arriving input data), rather than recomputing the entire derived table (e.g., by again executing the original query, which can be expensive), an invertible relationship between timestamps can be leveraged to identify only those portions of the derived table that are affected by the update. Therefore, a new defining query can be generated to update only those portions of the derived table that are affected by the source data update.
Abstract:
A system may include a processor, a user input, and memory comprising a graph and executable instructions. The executable instructions may cause the processor to effectuate operations. The operations include receiving, via the user input, a query comprising a class generalization and pathway variables. The operations include identifying a query class based on at least the class generalization and determining an anchor set based on at least one of the pathway variables. The operations also include translating the pathway variables into a pathway algebraic expression based on the anchor set and the query class and executing the pathway algebraic expression on the graph to return a pathway set.
Abstract:
Systems and methods utilize a data model database which includes a plurality of symbol data types. Each of the plurality of symbol data types have one or more symbol data fields. The data model database further includes a plurality of concrete data types. Each of the concrete data types have one or more language-agnostic concrete fields associated with each of the one or more symbol data fields. Each of the one or more language-agnostic concrete fields apply one or more concrete constraints to each of the corresponding symbol data fields. The data model database further includes a plurality of carrier data types. The plurality of carrier data types having one or more language-specific carrier fields associated with each of the one or more language-agnostic concrete fields. Each of the one or more language-specific carrier fields apply one or more carrier constraints to each of the corresponding language-agnostic concrete fields.
Abstract:
A method, computer-readable medium, and device for processing a stream of records are disclosed. A method may receive a registration request from a data source to join in providing a plurality of records to the stream, synchronize a timing system with the data source, receive an initial timestamp from the data source, and post the initial timestamp to a plurality of operators or a plurality of subscribers before the data source is allowed to send records into the stream.