Palantir Technologies Inc.

Phillip Chen

Mark Elliot

Greg DeArment

Bradley Moylan

Brian Toth

Jon Paek

David Tolnay

Daniel Rothfus

Jonathon Yu

Adam Borochoff

Benjamin Duffield

Punyashloka Biswal

Mark Schafer

Walker Burgin

Matthew Lynch

Caitlin Colgrove

Gregory O'Connor

Matthew Sills

Sander Kromwijk

Stephanie Yu

Gabrielle Javitt

Alexandru Antihi

Brandon Krieger

Nir Ackner

Samuel Szuflita

Diran Li

Jonathan Yu

Helen Kaltegaertner

Shannon Scott

Maria Franco

The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. The data analysis system enables the user to investigate large volumes of data over many different paths of analysis while maintaining detailed and retraceable steps taken by the user over the course of an investigation, as captured via the user's queries and user interaction with the user interfaces provided by the data analysis system. Data analysis paths may involve exploration of high volume data sets, such as Internet proxy data, which may include trillions of rows of data. The data analyst may pursue a data analysis path that involves, among other things, applying filters, joining to other tables in a database, viewing interactive data visualizations, and so on. The data analysis system enables a user to refresh or insert a node in a workflow. The data analysis system further provides data editing, reporting, enrichment, expression language, and charting functionality.

Interactive user interface for dynamically updating data and data analysis and query processing

A computer-implemented method comprises detecting, by a processor of a first host of one or more hosts in a distributed computing environment, a distributed task waiting to be started, from a replicated configuration system, the distributed task being represented by a pending tasks key. The method comprises starting, by the processor, the distributed task by performing an atomic compare and swap operation to add a started key to the replicated configuration system. The method also comprises writing a specification of the distributed task to the replicated configuration system under a new version of a current tasks key. In addition, the method comprises removing, following the writing, the pending tasks key from the replicated configuration system.

Fault-tolerant and highly available configuration of distributed services

Fault-tolerant and highly available configuration of distributed services including a computer-implemented method for role-based configuration discovery comprising receiving a request comprising an identifier of a role; identifying a first key, in a replica of a distributed configuration store, comprising a first value that matches the role identifier; identifying one or more other key-value pairs associated in the replica with the first key; and returning a response to an entity that sent the request comprising the value of at least one key-value pair that is specific to the role the service has. Also disclosed are techniques for log forwarding.

Fault-tolerant and highly-available configuration of distributed services

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New York, NY, United States of America

Phillip Chen