Palantir Technologies Inc.

Yanran Lu

Jiawei Marvin Sum

Yi Xue

Mark Schafer

Mikhail Proniushkin

Matthew Lynch

Yifei Huang

Vipul Shekhawat

Gustav Brodman

Adhish Ramkumar

Jonah Scheinerman

Kushal Nigam

Hao Dang

Shahine Zoubeiri

Erin Price-Wright

Zhixian Shen

Shaun Springer

Meghan Nayan

Dylan Cooke

Timothy Dyck

Jingwei Luo

Stacey Milspaw

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Techniques for automatically scheduling builds of derived datasets in a distributed database system that supports pipelined data transformations are described herein. In an embodiment, a data processing method comprises, in association with a distributed database system that implements one or more data transformation pipelines, each of the data transformation pipelines comprising at least a first dataset, a first transformation, a second derived dataset and dataset dependency and timing metadata, detecting an arrival of a new raw dataset or new derived dataset; in response to the detecting, obtaining from the dataset dependency and timing metadata a dataset subset comprising those datasets that depend on at least the new raw dataset or new derived dataset; for each member dataset in the dataset subset, determining if the member dataset has a dependency on any other dataset that is not yet arrived, and in response to determining that the member dataset does not have a dependency on any other dataset that is not yet arrived: initiating a build of a portion of the data transformation pipeline comprising the member dataset and all other datasets on which the member dataset is dependent, without waiting for arrival of other datasets.

Dynamically performing data processing in a data pipeline system

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Growing community of inventors

New York, NY, United States of America

Yanran Lu