Abstract: Systems and methods for providing data exploration techniques are provided. For instance, user inputs specifying one or more data parameters can be received. One or more data sets can be obtained from a data source based at least in part on the data parameters. The data can be grouped into one or more groupings based at least in part on the data parameters. Each data grouping can have a plurality of subsets. A distribution of data can be determined for each data subset. A plurality of data representations can be generated based at least in part on the data parameters and the distributions of data. The distributions of data for each data subset can then be compared. One or more suggested applications or at least one data subset can be determined based at least in part on the comparison.

Abstract: Systems and methods for providing data exploration techniques are provided. For instance, user inputs specifying one or more data parameters can be received. One or more data sets can be obtained from a data source based at least in part on the data parameters. The data can be grouped into one or more groupings based at least in part on the data parameters. Each data grouping can have a plurality of subsets. A distribution of data can be determined for each data subset. A plurality of data representations can be generated based at least in part on the data parameters and the distributions of data. The distributions of data for each data subset can then be compared. One or more suggested applications or at least one data subset can be determined based at least in part on the comparison.

Abstract: Systems and methods for transferring data from a first data environment to a second data environment are disclosed. In particular, data can be obtained from a first data environment. One or more user inputs can be received specifying parameters to be associated with a second data environment. A plurality of table structures can be generated, each having a format determined in accordance with the one or more parameters. The obtained data from the first data environment can be mapped to the plurality of table structures. The plurality of table structures can then be mapped to the second data environment based at least in part on the one or more user inputs.

Abstract: A system for categorizing events found in data including a computer searchable database containing unlabeled data related to one or more systems or assets and data related to reported events and a classifier module in communication with the database and configured to: receive data from the database, select from the unlabeled data and event related to the reported events, and classify the selected event based thereon.