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The Challenges of Data Processing On Kubernetes - A look at Spark, Flink, Dask, and Ray // Holden Karau (DoK Day North America 2022)

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Manage episode 345761206 series 2865115
Kandungan disediakan oleh Data on Kubernetes Community. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Data on Kubernetes Community atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY)
ABSTRACT
This talk will go through both the improvements that have been made in Kubernetes for batch analytic workloads as well as some of the current pain experienced by users and developers moving their workloads to Kube. In this talk you will learn about how we “cheated” back in the YARN and Mesos days to make things go fast, why Kubernetes doesn’t like those cheats, and what some alternatives are.

  continue reading

243 episod

Artwork
iconKongsi
 
Manage episode 345761206 series 2865115
Kandungan disediakan oleh Data on Kubernetes Community. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Data on Kubernetes Community atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY)
ABSTRACT
This talk will go through both the improvements that have been made in Kubernetes for batch analytic workloads as well as some of the current pain experienced by users and developers moving their workloads to Kube. In this talk you will learn about how we “cheated” back in the YARN and Mesos days to make things go fast, why Kubernetes doesn’t like those cheats, and what some alternatives are.

  continue reading

243 episod

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