LinkedIn Engineering

APRIL 25, 2023

In our previous blog post on GraphQL, we explained how LinkedIn uses GraphQL to expedite the process of onboarding new use-cases for external API partners. In this blog post, we will cover how the GraphQL layer is architected for use by our internal engineers to build member and customer facing applications. specifically for GraphQL.

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Data Engineering Weekly

AUGUST 13, 2023

Editor’s Note: DewCon.ai Joe Reis, author of "The Fundamentals of Data Engineering," and Vinoth Chandar, creator of Apache Hudi and founder of OneHouse.ai. link] Sponsored: Great Data Debate–The State of Data Mesh Since 2019, the data mesh has woven itself into every blog post, event presentation, and webinar.

Data Engineering 52

Data Engineering Data Engineer Engineering Food 52

LinkedIn Engineering

DECEMBER 13, 2022

Co-authors:�� Kenneth Tay and Xiaofeng Wang At Linkedin, we constantly evaluate the value our products and services deliver, so that we can provide the best possible experiences for our members and customers. In this blog post, we share more details on how LinkedIn performs observational causal inference at scale using our Ocelot platform.

Data Preparation 55

Data Preparation Data Science Designing Data Pipeline 55

Pinterest Engineering

OCTOBER 31, 2023

2) Run-to-finish jobs: PinterestJobSet leverages Job s to provide users a mechanism to execute run-to-finish, framework-less parallel processings; PinterestTrainingJob leverages TFJob and PyTorchJob from the Kubeflow community for distributed training; PinterestCronJob leverages CronJob to execute scheduled jobs based on cron expressions. (3)

Architecture 97

Architecture Pipeline-centric Accessible Accessibility 97