Abstract: Systems and methods are provided for determining a set of objects, the objects corresponding to a given case or application of a deletion/retention policy; determining at least one object in the set of objects to be scheduled for deletion, the at least one object being associated with a given state that specifies a deletion and/or retention type and schedule for the at least one object; and scheduling data corresponding to the at least one object for deletion from one or more data sources based at least in part on the deletion and/or retention type and schedule specified in the object state.

Abstract: Systems and methods are provided for obtaining information from at least one computing system, the information including a set of records that respectively identify at least a network-based address of a computing device that accessed the computing system and an account hosted by the computing system that was accessed using the computing device; determining at least a first account and a second account were accessed from one or more computing devices that share a given network-based address based at least in part on the obtained information; and associating the first account and the second account with the network-based address.

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

Abstract: Example embodiments describe a data storage method and system. For example, the method described, performed by one or more processors, may comprise in an application for enforcing one or more policies for reading and writing data to a database receiving, over a data network, instructions for performing a read or write request for data, and sending the read or write request to a transaction manager for providing transactions for a key-value store of the database, the request being in accordance with one or more policies to be enforced by the enforcing application. The method may also comprise receiving, from the transaction manager, a response message based on operations performed by the transaction manager in response to the read or write request.

Abstract: A time-sensitive cube data system is disclosed in which time-sensitive and/or time-series data objects are output in response to a user's operations on a time-sensitive OLAP cube. The time-sensitive and/or time-series data objects output by the time-sensitive cube data system may be displayed to the user in any way that may be advantageous to the user's understanding. The time-series objects output by the time-sensitive cube data system are more helpful than a single snapshot, as a user is able to see data trends over time.

Abstract: Systems and methods are provided for determining a request to validate data, the request specifying validation criteria; generating a graph for validating the data, the graph including at least one node-based connected component that evaluates the data, the node-based connected component being constructed to represent the validation criteria; validating the data using the generated graph, wherein the data being validated is evaluated by the node-based connected component; and providing information describing the validated data.

Abstract: In cases where the right mouse click operation to access a context menu is disabled, the techniques described in the disclosure may provide access to the context menu through a long click of the left mouse button. For example, the user may click and hold the left mouse button for at least a threshold period of time, and in response thereto, the user interface is updated to display the context menu. To indicate to the user how long it would take for the context menu to appear, an icon can be displayed next to the cursor, or as a part of the cursor. The icon can show the relative time left before the context menu is displayed (e.g., an elapsed and/or remaining portion of the threshold period of time, etc.).

Abstract: Systems and methods are presented for data quality monitoring. Data quality monitors may be created and configured to identify objects with specified data quality issues and/or property values. Objects identified by a data quality monitor can be presented to users for confirmation and resolution. Properties used by the data quality monitor to match objects may also be displayed to users.

Abstract: In an embodiment, a computer-implemented method comprises, calculating a first relational classification score for a first node in a first graph; calculating a second relational classification score for a second node in a second graph; calculating a relational classification matching score for the first node and the second node that is based upon on the first relational classification score and the second relational classification score; generating a canonical tuple that represents a match between the first node and the second node based at least upon the relational classification matching score.

Abstract: Systems and methods are provided that are useful for configuring data processing pipelines. During building of a dataset in a data processing pipeline, statistics can be calculated relating to the dataset.

Abstract: A method performed by one or more processors comprises displaying code, receiving user selection of a portion of code, determining one or more settable data items, generating a template, displaying the template, receiving a user input value for the settable data items by the template, and executing the code with each of the settable data items set to the received user input value. A data processing pipeline is configured to pass a data item to a first transformer to provide first transformed data, store the first transformed data in a temporary memory, write the first transformed data to the data storage system, and pass the transformed data from the temporary memory to a second transformer.

Abstract: A method of executing computer-readable code for interaction with one or more data resources on a data processing platform, the method performed using one or more processors, comprising: receiving a request message including an identifier identifying executable code stored in a data repository; determining, using the identifier, an execution environment of a plurality of stored execution environments mapped to the identified executable code, wherein determining the execution environment mapped to the identified executable code comprises: accessing mapping data identifying a mapping between the identifier and the execution environment of the plurality of stored execution environments, the mapping data including configuration data associated with the identifier, wherein the configuration data identifies one or more convention-based data libraries particular to the execution environment; configuring the determined execution environment to access the one or more convention-based data libraries during execution; e

Abstract: Systems and methods for rapid importation of data including temporally tracked object recognition. One of the methods includes receiving datasets each indicating information associated with one or more objects. Information indicating unique identifying information associated with the objects is accessed, and an updated dataset joining information from datasets that is associated with each object is generated. The updated dataset is maintained to include most recent versions of each of the datasets, with one or more datasets being replaced with more recent versions, and with one or more other datasets being propagated to be the most recent versions. Queries received from clients are responded to, with the queries indicating requests for specific information related to objects.

Abstract: A system including first computer memory storing a full data set representable in rows and columns, a second computer memory storing executable instructions, and processors configured to execute the instructions to cause presentation of data of the full data set on a display including columns of data each having data fields, receive user input identifying a column of the data set, determine items to modify in information in the data fields of the identified column, generate and cause display of an indication of a proposed change action to modify the determined items, and in response to a user input indicating a selection of the indication of the proposed change action, update the presentation of the data based on the change action to modify information displayed in the data fields of the identified column of the data, and store a log of the change action.

Abstract: A data analysis system receives potentially undesirable electronic communications and automatically groups them in computationally-efficient data clusters, automatically analyze those data clusters, automatically tags and groups those data clusters, and provides results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the data clusters may include an automated application of various criteria or rules so as to generate an ordered display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters.

Abstract: Systems, methods, and non-transitory computer readable media are provided for providing parameterized states. Resource customization information may be obtained. The resource customization information may identify a resource and define a customized view of the resource. A parameterized state may be generated based on the resource customization information. Activation of the parameterized state may cause the customized view of the resource to be presented. An interface through which the parameterized state is accessible may be provided.

Abstract: Systems and methods are provided for creating and managing a data integration workspace. The workspace may comprise one or more views of data (or datasets) stored in or accessible by the system. Models may be generated and updated based on the plurality of datasets and presented via a graphical user interface. Feedback received via a graphical user interface presenting a model may be used to annotate an underlying dataset associated with the model. Responsive to a modification of the underlying dataset or the rules for using the underlying dataset to generate the model, other related datasets and/or models may be automatically updated accordingly. Templates associated with one or more types of users may be defined. Each template may comprise one or more specific models related to a specific type of user.

Abstract: Using a distributed database system that manages a plurality of different raw datasets and a plurality of derived datasets that have been derived from the raw datasets based on a plurality of derivation relationships that link the raw datasets to the derived datasets, a subset of records that are candidates for propagated deletion of specified data values is determined. One or more particular raw datasets that contain the subset of records is determined. The specified data values from the particular raw datasets is deleted. Based on the plurality of derivation relationships and the particular raw datasets, one or more particular derived datasets that have been derived from the particular raw datasets is identified. A build of one or more particular derived datasets to result in creating and storing one or more particular derived datasets without the specified data values deleted from the particular raw datasets is generated and executed.