公开(公告)号：US20180039399A1

公开(公告)日：2018-02-08

申请号：US15784004

申请日：2017-10-13

Applicant: Palantir Technologies Inc.

Inventor： Helen Kaltegaertner ,  Alexandru Antihi ,  Brandon Krieger ,  Caitlin Colgrove ,  Diran Li ,  Gabrielle Javitt ,  Gregory O'Connor ,  Mark Schafer ,  Mark Elliot ,  Maria Franco ,  Matthew Lynch ,  Punyashloka Biswal ,  Phillip Chen ,  Sander Kromwijk ,  Shannon Scott ,  Stephanie Yu ,  Walker Burgin

IPC: G06F3/0484 ,  G06F3/0482 ,  G06F17/30

CPC classification number: G06F3/04847 ,  G06F3/04817 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/248 ,  G06F16/26

Abstract: 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.