Palantir Technologies Inc.

Palantir Tschngmgies Inc.

David Tobin

Wilson Wong

Steven Fackler

Allen Cai

Dylan Scott

Daniel Patrick Cervelli

David Skiff

Orcun Simsek

Peter Wilczynski

David Cohen

Benjamin Duffield

Alexander Landau

William Waldrep

Hongjai Cho

Nikhil Taneja

Kevin Zhang

Jason Hoch

Austin Czarnecki

Bryan Offutt

Robert Liu

Danielle Kramer

Jeffrey Chen

Andrew Israel

Can Guler

Pawel Adamowicz

Lucas Lemanowicz

Daniel Deutsch

Eliot Ball

Michael Nazario

Stephen Freiberg

Mikhail Proniushkin

Nicholas Miyake

Kevin Verdieck

Kayo Teramoto

Brian Ngo

Zachary Bush

Calvin Fernandez

Aditya Dahiya

Izaak Baker

Xiaohan Zhang

Sean Kelley

Ayush Sood

Audrey Kuan

Grace Wang

Siddharth Rajgarhia

Jiaji Hu

Jonathan Hong

Holly Xu

Clark Minor

Jerry Chen

John Antonio Carrino

Allen Chang

John Kenneth Garrod

John McRaven

Xavier Falco

Feridun Arda Kara

Sri Krishna Vempati

Agatha Yu

Aditya Shashi

Trevor Sontag

Christopher Rogers

Samantha Woodward

Hasan Dincel

Matthew Avant

Mihir Pandya

Matt Avant

Stephen Nicholas Barton

Christopher Rodgers

Steven Freiberg

Simsek Orcun

A method may comprise receiving a query for performing one or more computational operations on one or more multi-dimensional data sets representing multi-dimensional time series data collected in real-time from one or more sensors associated with one or more technical systems. The method may also comprise identifying the location of the one or more multi-dimensional time series data sets in one or more databases, retrieving the one or more multi-dimensional time series data sets from the identified one or more databases, and performing the one or more computational operations on the retrieved one or more multi-dimensional time series data sets. The method may also comprise generating output based on the result of the one or more computational operations indicative of one or more states of the one or more technical systems with respect to time.

Multi-dimensional time series datasets

A method, performed by one or more processors, may comprise receiving a query for performing one or more computational operations on one or more multi-dimensional data sets representing multi-dimensional time series data collected in real-time from one or more sensors associated with one or more technical systems. The method may also comprise identifying the location of the one or more multi-dimensional time series data sets in one or more databases, retrieving the one or more multi-dimensional time series data sets from the identified one or more databases, and performing the one or more computational operations on the retrieved one or more multi-dimensional time series data sets. The method may also comprise generating output based on the result of the one or more computational operations indicative of one or more states of the one or more technical systems with respect to time.

Querying multi-dimensional time series data sets

A database system is described that includes components for storing time-series data and executing custom, user-defined computational expressions in substantially real-time such that the results can be provided to a user device for display in an interactive user interface. For example, the database system may process stored time-series data in response to requests from a user device. The request may include a start time, an end time, a period, and/or a computational expression. The database system may retrieve the time-series data identified by the computational expression and, for each period, perform the arithmetic operation(s) identified by the computational expression on data values corresponding to times within the start time and the end time. Once all new data values have been generated, the database system may transmit the new data values to the user device for display in the interactive user interface.

Time-series data storage and processing database system

Methods and apparatuses related to federated search of multiple sources with conflict resolution are disclosed. A method may comprise obtaining a set of data ontologies (e.g., types, properties, and links) associated with a plurality of heterogeneous data sources; receiving a selection of a graph comprising a plurality of graph nodes connected by one or more graph edges; and transforming the graph into one or more search queries across the plurality of heterogeneous data sources. A method may comprise obtaining a first data object as a result of executing a first search query across a plurality of heterogeneous data sources; resolving, based on one or more resolution rules, at least the first data object with a repository data object; deduplicating data associated with at least the first data object and the repository data object prior to storing the deduplicated data in a repository that has a particular data model.

Federated search of multiple sources with conflict resolution

Various systems and methods are provided that display various graphs in an interactive user interface in substantially real-time in response to input from a user in order to determine information related to measured data points and provide the determined information to the user in the interactive user interface. For example, a computing device may be configured to retrieve data from one or more databases and generate one or more interactive user interfaces. The one or more interactive user interfaces may display the retrieved data in one or more graphs, such as time-series or scatterplots. The user interface may be interactive in that a user may manipulate one graph, which causes an identical or nearly identical manipulation of another displayed graph in real-time. The manipulations may occur even if the displayed graphs include data across different time ranges.

Time-series analysis system

Systems and methods are provided for improved time series databases and time series operations. A time series service responds to requests from external devices. The external devices request time series data and submit time series queries. The time series service generates planned and efficient time series queries from the initial queries. The time series service performs operations such as unit conversion, interpolation, and performing operations on time series data. The time series service can identify which time series database to query from and/or cause data to be populated into a time series database from a data pipeline system.

Time series database processing system

Various systems and methods are provided that display schematics and data associated with the various physical components in the schematics in an interactive user interface. For example, a computing device links data stored in one or more databases with schematics displayed in one or more interactive user interfaces. The computing device parses a digital image that depicts a schematic and identifies text visible in the digital image. Based on the identified text, the computing device recognizes representations of one or more physical components in the schematic and links the representations to data regarding the physical component in one or more databases, such as specification data, historical sensor data of the component, etc. The computing device modifies the digital image such that it becomes interactive and visible in a user interface in a manner that allows the user to select a physical component and view data associated with the selection.

Schematic and database linking system

Systems and methods for aggregating and storing different types of data, and generating interactive user interfaces for analyzing the stored data. In some embodiments, entity data is received for a plurality of entities from one or more data sources, and used to determine attribute values for the entities for one or more given time periods. The plurality of entities may be categorized into one or more entity groups, and aggregate attribute values may be generated based upon the entity groups. A first interactive user interface is generated displaying the one or more entity groups in association with the aggregated attribute values associated with the entity group. In response to a received indication of a user selection of an entity group, a second interactive user interface is generated displaying the one or more entities associated with the selected entity group, each entity displayed in association with the attribute values associated with the entity.

Systems for collecting, aggregating, and storing data, generating interactive user interfaces for analyzing data, and generating alerts based upon collected data

Aspects of the present disclosure relate to alerting. A server accesses a user-provided specification, the user-provided specification indicating an initial alert range for a measured value and a subsequent alert schedule for the measured value. The server monitors a physical measurement of the measured value. The server determines that the physical measurement falls within the initial alert range. The server provides an initial alert in response to the physical measurement falling within the initial alert range. The server provides a subsequent alert according to the subsequent alert schedule in the user-provided specification.

Alerting system and method

Growing community of inventors

Atherton, CA, United States of America

David Tobin