Abstract:
In one embodiment, a method includes enrolling a supplicant device as an authentication factor for a user. The enrolling includes storing a public key of an asymmetric key pair generated by an authentication application on the supplicant device. The method also includes receiving, from an access device, a request to access a service using an identity of the user. In addition, the method includes, responsive to the receiving, publishing an authentication code to the access device. The method further includes receiving an authentication package from the authentication application without contacting the authentication application. The authentication package includes a digital signature of the authentication code. The method additionally includes validating the digital signature using the public key. Moreover, the method includes, responsive to a determination that the validating is successful, allowing the access device to access the service.
Abstract:
In one embodiment, a method includes defining a slice of a dimensional database. The slice includes at least one dimension and at least one measurement and is expressable as a table. The method further includes building, in a structured query language (SQL) dialect, a single query that queries the slice and one or more non-dimensional databases. The SQL dialect represents the at least one dimension, the at least one measurement, and data attributes of the one or more non-dimensional databases. In addition, the method includes parsing the single query. The parsing includes generating a dimensional query for the dimensional database and a non-dimensional query for each of the one or more non-dimensional databases. Furthermore, the method includes executing the dimensional query on the dimensional database. Moreover, the method includes, for each non-dimensional database of the one or more non-dimensional databases, executing the non-dimensional query on the non-dimensional database.
Abstract:
In one embodiment, a method includes receiving a data-transformation request in relation to a visualization of a first dataset, wherein the data-transformation request expresses at least one transformation of the first dataset without using Structured Query Language (SQL) syntax, wherein the visualization is characterized by a first SQL statement. In addition, the method includes automatically determining based, at least in part, on a mapping of the visualization to the first SQL statement, a second SQL statement operable to return a second dataset. Further, the method includes causing the second SQL statement to be executed on one or more databases. Moreover, the method includes receiving, in response to the causing, the second dataset. The method also includes updating the visualization to reflect the second dataset.
Abstract:
A system, method, and computer-readable medium for performing a predictive caching operation in which a hit rate is improved by pre executing statements that are predicted based upon previous use patterns. More specifically, by analyzing a stream of statements provided to a server, such as a database server, patterns of usage are detected and based upon these patterns, statements provided to the server are executed before the actual application executes the predicted statements. Thus the application executes faster because the data requested is already cached based upon the predictive execution.
Abstract:
In one embodiment, a method includes defining a slice of a dimensional database. The slice includes at least one dimension and at least one measurement and is expressable as a table. The method further includes building, in a structured query language (SQL) dialect, a single query that queries the slice and one or more non-dimensional databases. The SQL dialect represents the at least one dimension, the at least one measurement, and data attributes of the one or more non-dimensional databases. In addition, the method includes parsing the single query. The parsing includes generating a dimensional query for the dimensional database and a non-dimensional query for each of the one or more non-dimensional databases. Furthermore, the method includes executing the dimensional query on the dimensional database. Moreover, the method includes, for each non-dimensional database of the one or more non-dimensional databases, executing the non-dimensional query on the non-dimensional database.