Palantir Technologies Inc.

Jonah Scheinerman

Gregory Slonim

Peter Maag

Jared Newman

Jesse Rickard

Giulio Mecocci

Andrzej Skrodzki

Harish Subbanarasimhia

Adrian Marius Dumitran

Alexandru Viorel Antihi

Thomas Powell

Myles Scolnick

Jiawei Marvin Sum

Andre Frederico Cavalheiro Menck

Steven Fackler

Bianca Rahill-Marier

Mark Schafer

Mikhail Proniushkin

Matthew Lynch

Jim Inoue

Vipul Shekhawat

William Seaton

Paul Gribelyuk

Maciej Albin

Andrew Poh

Benjamin Lee

Zhixian Shen

Shahine Zoubeiri

Erin Price-Wright

Benjamin Grabham

Shaun Springer

Meghan Nayan

Yanran Lu

Dylan Cooke

Arion Sprague

Gregoire Omont

Tam-Sanh Nguyen

Timothy Dyck

Callum Rogers

Matej Hamas

Display screen or portion thereof with graphical user interface

Systems and methods are provided for identifying relationships between defects. The system may obtain defect items and associated information. Defect items may be compared to one another based on their attributes to determine how related they are. According to the comparisons, defect items may be grouped together into issue items for further analysis by a user. The system may further update a defect comparison model according to user interaction with defect items.

Systems and methods for determining relationships between defects

Systems and methods are provided for executing a program that produces one or more data streams. A visual graph can be generated based at least in part on the data streams. A given data stream can be represented in the visual graph as a dot and a connection between a pair of data streams can be represented in the visual graph as an arc connecting a pair of dots representing the pair of data streams. The visual graph can be provided for presentation through an interface. The visual graph can provide a visual representation of an execution state of the program during execution.

Approaches for analyzing data streams

A method and system for data pipeline monitoring receives an event data object and a current status data object from one or more subsystems of a pipeline. The system analyzes the event data object and the current status data object to determine a first and second validation value. The system, in response to determining that either the first or second validation value is not valid, sends a notification.

Data pipeline monitoring

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Ann Arbor, MI, United States of America

Jonah Scheinerman