Palantir Technologies Inc.

Joel Ossher

Stephen Yazicioglu

Matthew Fedderly

Timothy James Slatcher

Lucas Ray

John McKinstry Doyle

Alessandro Mingione

Justin Streufert

Hunter Pitelka

Henry Tung

Brandon Marc-Aurele

Robert Giardina

Eric Jeney

Christopher Luck

Stefan Negrus

Ethan Lozano

Olivia Zhu

Howard Schindel

Christopher Leech

Jason Lee

Gregory O'Connor

Ashley Einspahr

David Xiao

Julie Noelle Tibshirani

Jeffrey Bagdis

Andrew Elder

David Cohen

Allen Chang

Sharon Hao

Alexander Mark

Timothy Yousaf

Eric Anderson

Jakob Juelich

Eric Raboin

Lindsay Ward

Wenshuai Hou

Christopher Richbourg

Kevin Zhang

Adam Campbell

Daniel Lidor

Joshua Zavilla

Sam Stoll

Michael Tuer

Ryan Hermstein

Orr Ganel

Denis Rochau

Mark Elliot

Javier Campanini

Agatha Yu

Robin Lim

Youssef Moussaoui

Mitch Beard

Mike Glazer

Dathan Bennett

Steve Matuszek

Gregory O'Conner

Julie Tibshirani

Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, a file format is assigned to a source electronic data files by a data importation system. The data importation system may further identify a file type identifier associated with the source electronic data file and map the source electronic data file to a transformation template. The data importation system may further store the file format, file type identifier, and an indication of the transformation template as a file type profile associated with the source electronic data file in a database.

Systems and methods for importing data from electronic data files

Systems and methods for a central user interface for accessing, and upgrading of, dataset integrations. An example method includes accessing, by a system of one or more processors, datasets stored via respective outside devices or systems. The datasets are integrated by the system according to respective integration tiers, with each integration tier being associated with, at least, a respective subset of search functionality enabled via the system. An interactive user interface is presented via a user device, with the interactive user interface presenting summary information. The interactive user interface further enables adjustment of a particular dataset from a first integration tier to a second integration tier.

Central user interface for accessing and upgrading of dataset integrations

Systems, methods, and non-transitory computer-readable media can obtain data form one or more data sources. The data from the one or more data sources can be processed into one or more data records. Each data record can include at least an identification, a data type, and data to be stored. The data records can be organized into a tree data structure. The tree data structure can be stored as an intermediate data layer in a data analysis platform.

Systems and methods for creating a data layer based on content from data sources

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

Systems and methods are provided for determining multiple fragments of data to be imported, the multiple fragments of data corresponding to different instances of data obtained from one or more external data sources, the different instances of data each corresponding to duplicate content. The multiple fragments of data that each correspond to different instances of duplicate content can be ingested. The multiple fragments of data can be de-duplicated to determine one or more corresponding object data source records (DSRs). The one or more object DSRs can be imported within a data platform system.

Approaches for managing object data

Systems and methods are provided for facilitating the transformation of data from a tabular data set organized according to a data schema to an object based data set organized according to data ontology. The data schema and the data ontology may be used to generate a custom coding language suitable for facilitating the creation of a transform script. Error checking, type checking, autocomplete, and preview tools may be provided to permit the verification of the transform script as it is created.

Systems and methods for facilitating data transformation

Systems and methods are provided that allow federated data from various source systems to be accessed and analyzed through a data analysis platform. The federated data may be stored in different formats. The data analysis platform can receive the federated data in whatever format it has been stored at its respective source system. A script can be used to generate temporary representations (or temporary objects) for the federated data by transforming the federated data. Moreover, the temporary representations or temporary objects can be further transformed into a data analysis platform-specific format. A user of data analysis platform may access and/or manipulate either the temporary representations or objects as well as the data analysis platform-specific objects. Temporary objects can be transformed automatically into corresponding platform-specific objects when necessary to provide an enhanced capability or operation on the objects.

Systems and methods for accessing federated data

Growing community of inventors

Vienna, VA, United States of America

Joel Ossher