Palantir Technologies Inc.

Jasjit Grewal

Thomas Pearson

Mark Elliot

Thomas Powell

Lawrence Manning

Samuel Rogerson

Nitish Kulkarni

Andrew Kaier

Corey Garvey

Robert Fink

Eric A Lee

Eli Bingham

Nicholas White

Engin Ural

Audrey Kuan

Cenk Sezgin

Eric C Lee

Eric Lee

Example embodiments describe a method performed by one or more processors. The method may comprise sending over a network, to a software component installed at a remote data source, a request to download data stored at, or in association with, the remote data source, the software component being configured to access performance data at said remote data source. In response to sending the request, the method may comprise receiving from the software component at least an indication of the performance data accessed by said software component, determining whether to proceed with the data download request or to modify the data download request based on the received performance data.

Ingesting data to a processing platform

An apparatus, and a method, performed by one or more processors are disclosed. The method receives a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method generates a task identifier for the data processing task, and provides, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation. The method receives the second data set and metadata from the agent associated with the external system and stores the second data set and associated metadata.

Providing external access to a processing platform

An apparatus, and a method, performed by one or more processors are disclosed. The method receives a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method generates a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation. The method receives the second data set and metadata from the agent associated with the external system and stores the second data set and associated metadata.

An apparatus, and a method, performed by one or more processors are disclosed. The method may comprise receiving a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method may also comprise generating a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation. The method may also comprise receiving the second data set and metadata from the agent associated with the external system and storing the second data set and associated metadata.

According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.

System and method for aggregating data from a plurality of data sources

Aggregating data from a plurality of data sources

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Brooklyn, NY, United States of America

Jasjit Grewal