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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

Creating new development environments is cumbersome: Populating them with data is compute-intensive, and the deployment process is error-prone, leading to higher costs, slower iteration, and unreliable data. In this talk, Iaroslav Zeigerman discusses challenges faced by data practitioners today and how core SQLMesh concepts solve them.

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World’s Top Web Performance Leaders To Watch

Rigor

Jake is a developer advocate at Google working with the Chrome team to develop and promote web standards and developer tools, as well as a contributor to the Chromium blog. Jake is a frequent speaker at many popular conferences and events, such as 100 Days of Google Dev , JAMstakConf , JSConf , SmashingConf , and dozens of others.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 205
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Tackling the Pipeline Problem in the Architecture Research Community

ACM Sigarch

big-data processing, machine learning, quantum computing, and so on). Communities in other fields have made a substantial effort towards “democratization,” where tools are not just made open source, but also accessible to everyone. Lena Olson is a Software Engineer at Google. .