Palantir Technologies Inc.

Jakob Juelich

Mark Elliot

Robert Fink

Jared Newman

Michael Nazario

Kevin Chen

Lynn Cuthriell

Divyanshu Arora

Mingyu Kim

Matthew Cheah

James Baker

Justin Uang

Matthew Elkherj

Joel Ossher

Lawrence Manning

Benjamin Funk

Christian Burchhardt

Systems, methods, and non-transitory computer readable media are provided for recursively searching a plurality of workspaces of the system for linked data associated with the seed data, initiating an endpoint process for each the seed data and the linked data, and, upon completion of the search, delete the seed data and the linked data identified based at least in part on the endpoint process. The process may be automatically repeated at a predetermined time interval to identify and remove future data that is stored in the plurality of datasets.

Nested discovery and deletion of resources

A computer-implemented method comprises obtaining a first build task for building first source code in a first programming language of a plurality of programming languages; retrieving, by the processor, the first source code based on the first build task; building the first source code into one or more artifacts and one or more job specifications; storing the one or more artifacts in a cache shared across a cluster; and initializing an application module on the cluster based on the first programming language, the application module configured to receive a job specification of the one or more job specifications and execute a data transformation job using a reference to a location in the cache.

Extensible data transformation authoring and validation system

Systems, methods, and non-transitory computer readable media are provided for mapping data based on an ontology of a platform. A data set may be obtained. Data within the data set may be for use by an operation platform based on an operation ontology. The operation ontology may define an operation data structure for the operation platform. The data may be shaped based on a target ontology. The target ontology may define a target data structure for a target platform. The data may be shaped such that the data is mapped to the target data structure.

Ontological mapping of data

Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.

Systems and methods are provided for investigation network activities. Network activity information may be accessed. The network activity information may describe for an individual (1) respective relationship with one or more persons; and (2) respective activity status information indicating whether a given person has engaged in a particular activity. A network activity graph may be generated based on the network activity information. The network activity graph may include two or more nodes representing the individual and the one or more persons. Connections between the nodes may represent the respective relationships between the individual and the one or more persons. Data corresponding to the network activity graph may be presented through an interface.

Framework for exposing network activities

Systems and methods are provided for investigation of network activities. Network activity information may be accessed. The network activity information may describe for an individual (1) respective relationship with one or more persons; and (2) respective activity status information indicating whether a given person has engaged in a particular activity. A network activity graph may be generated based on the network activity information. The network activity graph may include two or more nodes representing the individual and the one or more persons. Connections between the nodes may represent the respective relationships between the individual and the one or more persons. Data corresponding to the network activity graph may be presented through an interface.

Growing community of inventors

London, United Kingdom

Jakob Juelich