Palantir Technologies Inc.

Hannah Korus

Brian Schimpf

Mark Elliot

Michael Harris

Lynn Cuthriell

Gustav Brodman

Brian Toth

Jacob Meacham

Jonathan Hsiao

Michael Garland

Evelyn Nguyen

Andrew Elder

Sharon Hao

Alexander Mark

Sixin Li

William Rhyne

Caitlin Colgrove

Rick Ducott

Stephanie Yu

Calvin Fernandez

Jacob Sanches

Noah Chen

Lam Tran

Geoffrey Cameron

Daniel O'Malley

Michael Barone

Diogo Bonfim Moraes Morant De Holanda

Cihat Imamoglu

Robert Kruszewski

Thomas Playford

Kevin Chen

Christopher Yu

Patrick Koenig

Sebastian Brueckner

Tushar Narayan

Katherine Carras

Yin Lin

Kevin Lowe

Computing systems and methods are provided for defining, within a data platform, a segment having constraints at a level of the segment, implementing the constraints or the classification rules within the segment while insulating resources within the segment from inheriting the constraints, and controlling an ingestion of an external resource into the segment based on the constraints.

Enforcing security within a data platform

A computer system is disclosed that provides classification-based access controls at the dataset row-level. The system may perform operations including: ingesting a dataset, wherein the dataset comprises a table of rows and columns; determining a column of the table that includes permissions information; applying parsing rules to the column to determine, for each row of the table, a list of permissions markings; receiving, from a user, a request to access the dataset; and in response to receiving the request: determining a permissions policy associated with the user; determining an evaluated policy associated with the user based on the permissions policy; filtering the table based on applying the evaluated policy associated with the user to the permissions markings of each row of the table; and providing the user access to the filtered table.

Row-level permissioning based on evaluated policies

Methods, systems, and apparatus, including computer programs encoded on computer storage media for data security protection are provided. One of the methods includes: receiving a job associated with a project, wherein the project is associated with one or more data sources; identifying a plurality of inputs and a plurality of outputs associated with the job; determining a plurality of required permissions associated with the job, wherein each of the required permissions comprises an operation on a required data source, the operation corresponding to at least one of the inputs or the outputs; verifying that the one or more data sources associated with the project comprise the required data source associated with each of the required permissions; and generating a token associated with the job, the token encoding the required permissions associated with the job, wherein the token is required for execution of the job.

Project-based permission system

A system is configured to provide a dashboard creation system. Panels associated with queries for retrieving information from a database are shown in a user interface. Various other user interfaces show query code, panel display settings, function code, dependencies, etc. Queries in a first query format access a data source. Queries in a second query format access a cache database that is synchronized with the data source.

Cached database and synchronization system for providing dynamic linked panels in user interface

Systems and methods are provided for integrated data analysis. At least one object that is responsive to a first search query is determined. The object is stored in an object model that is managed by a first computing platform, and the at least one object is associated with one or more properties. One or more data sets that are responsive to a second search query are determined. The data sets are managed by a second computing platform. The one or more data sets are determined related to the at least one object. The at least one object is updated to include at least one property that references at least one analysis that relies on the one or more data sets.

Integrated data analysis

A history preserving data pipeline computer system and method. In one aspect, the history preserving data pipeline system provides immutable and versioned datasets. Because datasets are immutable and versioned, the system makes it possible to determine the data in a dataset at a point in time in the past, even if that data is no longer in the current version of the dataset.

Universal data pipeline

History preserving data pipeline

History preserving data pipeline system and method

Growing community of inventors

Palo Alto, CA, United States of America

Hannah Korus