Palantir Technologies Inc.

Anduril Industries, Inc.

Jared Newman

Mark Elliot

Robert Fink

Brian W Schimpf

Peter Maag

Viktor Nordling

Palmer Freeman Luckey

Julian Hammerstein

Joseph Chen

Jason Levin

Travis M Whitaker

Ryan Brown

Adam Borochoff

Benjamin Duffield

Joseph Rafidi

Michael Nazario

Matthew MacLean

Kevin Chen

Lynn Cuthriell

Jakob Juelich

Divyanshu Arora

Mingyu Kim

Matthew Cheah

Elston ToChip

Joshua John Bennett

Nikhil Reddy

Samuel R Elie

Abhay Venkatesh

Harkirat Singh

Greg DeArment

Jesse Rickard

Ashwin Ramaswamy

Bradley Moylan

Matthew Lynch

Jacob Albertson

Maciej Albin

Jonah Scheinerman

Justin Uang

Felix De Souza

Graham Dennis

Daniel Fox

Gregory Slonim

Huw Pryce

James Neale

Giulio Mecocci

Andrzej Skrodzki

Artur Jonkisz

Harish Subbanarasimhia

Adrian Marius Dumitran

Alexandru Viorel Antihi

Grace Wang

Jimin Song

Matthew Maclean

A method of determining and displaying metadata that represents provenance of columns in a data store comprises receiving query data expressed in a human-readable language and describing one or more transformations of data tables of a distributed database system or columns of the data tables; parsing the query data to create a data structure for unresolved transforms in which the data tables are not matched with the columns; based in part upon table schema metadata describing the columns of the data tables, creating an additional data structure for resolved transforms, the additional data structure matching the data tables with the columns and specifying inputs and outputs of each transformation of the one or more transformations; based on information in the additional data structure, creating and causing display of a visual graph of the columns of the data tables and relationships between the columns, relating to the one or more transformations.

Generation and graphical display of data transform provenance metadata

A system and method for grouping assets is disclosed. The system includes one or more processors configured to: receive, via the communication interface, data associated with one or more tasks to be performed by a set of assets, determine, from among a plurality of assets, the set of assets to perform the one or more tasks, including determining one or more capabilities associated with one or more characteristics of the one or more tasks, and determining the plurality of drones based at least in part on the one or more capabilities associated with one or more characteristics of the one or more tasks, and one or more drone capabilities respectively associated with the drones, and communicate an instruction to at least one drone in the set of assets, the instruction indicating that the one or more tasks are to be completed by the at least one drone.

Grouping a set of assets to perform an operation

A system for generating an environment for an operation using a set of assets includes processor(s) configured to obtain data associated with task(s) to be performed by a set of assets, wherein: 1) the set of assets comprises semi-autonomous drones and 2) the data associated with the task(s) comprises other drone flight plan(s); determine a discretized representation of the geographic location, wherein the discretized representation comprises discrete elements each corresponding to a volume associated with the geographic location; annotate the discretized representation with the other drone flight plan(s) to create an annotated representation; determine a first flight plan of one drone, wherein the first flight plan is determined based on the annotated representation; and communicate information pertaining to the first flight plan to at least one other asset.

Generating a flight plan of a semi-autonomous drone

A system for planning an operation includes a communication interface and processor(s). The processor(s) is/are configured to: receive an indication that the drone is part of a set of assets, wherein the set of assets are tasked with performing element(s) of task(s), and the set of assets comprises a plurality of drones; communicate information pertaining to the element(s), wherein: 1) the information pertaining to the element(s) is communicated with at least one other drone; 2) the information pertaining to the element(s) is based at least in part on information obtained by sensor(s) of the set of assets; and 3) the information pertaining to the element(s) is used in connection with determining a plan to perform the task(s); and communicate information pertaining to the plan to perform the task(s), wherein the information pertaining to the plan to perform the task(s) is communicated with at least one other drone.

Planning an operation for a set of assets

A system generating an environment for an operation using a set of assets includes processor(s) configured to: obtain data associated with task(s) to be performed by a set of assets, wherein: 1) the set of assets comprises semi-autonomous drones and 2) the data associated with the task(s) comprises parameter(s) pertaining to a geographic location in which at least one asset is to perform the task(s); determine a discretized representation of the geographic location, wherein the discretized representation comprises discrete elements each corresponding to a volume associated with the geographic location; annotate the discretized representation to create an annotated representation with the parameter(s) pertaining to the geographic location with a subset of the discrete elements based on a determination that the parameter(s) pertain to the geographic location; determine a plan to perform the task(s), wherein the plan is based on the annotated representation; and cause the task(s) to be performed.

Generating an environment for an operation using a set of assets

A system comprises an interface and a processor. The interface is configured to provide a request to join a publish group from a client or a point to point communication link of a lattice mesh; and receive a group key or a host public key. The processor is configured to determine whether a message has been received; in response to the message having been received, determine whether the message is to be sent on; in response to the message being determined not to be sent on, decode the message using the group key or the host public key; determine whether to store the message in a backfill database; in response to determining to store the message in the backfill database, store the message in the backfill database.

Lattice mesh

A method comprises creating metadata identifying columns of tables and column operations of one or more data transforms of the columns in a data pipeline and including links to code segments in human-readable form corresponding to the one or more data transforms; executing a build job that effects the one or more data transforms on one or more datasets to generate one or more derived datasets; causing, after the executing, a presentation of a graphical user interface (GUI) including a graphical representation of the one or more data transforms based on the metadata, wherein the method is performed by one or more processors.

A computer-implemented method comprises obtaining a first build task for building first source code in a first programming language of a plurality of programming languages; retrieving, by the processor, the first source code based on the first build task; building the first source code into one or more artifacts and one or more job specifications; storing the one or more artifacts in a cache shared across a cluster; and initializing an application module on the cluster based on the first programming language, the application module configured to receive a job specification of the one or more job specifications and execute a data transformation job using a reference to a location in the cache.

Extensible data transformation authoring and validation system

A method and system for serving assets is disclosed, comprising receiving an asset request to serve an asset, wherein the asset request originates at an application, and wherein the asset request comprises an advertisement of an asset to be served and a request for the network address of an asset server configured to serve the requested asset. The method further comprises causing a service discovery server to identify an asset server configured to serve the requested asset, and causing the requested asset to be served to the application.

Serving assets in a networked environment

Techniques for propagation of deletion operations among a plurality of related datasets are described herein. In an embodiment, a data processing method comprises, using a distributed database system that is programmed to manage a plurality of different raw datasets and a plurality of derived datasets that have been derived from the raw datasets based on a plurality of derivation relationships that link the raw datasets to the derived datasets: from a first dataset that is stored in the distributed database system, determining a subset of records that are candidates for propagated deletion of specified data values; determining one or more particular raw datasets that contain the subset of records; deleting the specified data values from the particular raw datasets; based on the plurality of derivation relationships and the particular raw datasets, identifying one or more particular derived datasets that have been derived from the particular raw datasets; generating and executing a build of the one or more particular derived datasets to result in creating and storing the one or more particular derived datasets without the specified data values that were deleted from the particular raw datasets; repeating the generating and executing for all derived datasets that have derivation relationships to the particular raw datasets; wherein the method is performed using one or more processors.

Computer-implemented techniques for data extraction are described. The techniques include a method and system for retrieving an extraction job specification, wherein the extraction job specification comprises a source repository identifier that identifies a source repository comprising a plurality of data records; a data recipient identifier that identifies a data recipient; and a schedule that indicates a timing of when to retrieve the plurality of data records. The method and system further include retrieving the plurality of data records from the source repository based on the schedule, creating an extraction transaction from the plurality of data records, wherein the extraction transaction comprises a subset of the plurality of data records and metadata, and sending the extraction transaction to the data recipient.

Techniques for data extraction

Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.

Growing community of inventors

New York, NY, United States of America

Jared Newman