How to run Spark on Kubernetes like a pro

the Kubernetes workshop series, we will go over how to run Spark on Kubernetes. As your company accumulates more data, it’s important to leverage all of it to develop new advanced machine learning models. And now, you can scale Spark using Kubernetes. Thanks to the new native integration between Apache Spark’s and Kubernetes, scaling data processing has never been easier. Apache Spark is a well designed high level application that can increase your data processing speed and accuracy. It can handle batch and real-time analytic and data processing workloads. This high level and efficient technology can be used with Java/Spark/Python and R. Joined with Kubernetes, you can get twice the efficiency. Kubernetes is a great engine with the most popular framework for managing compute resources. Unfortunately, running Apache Spark on Kubernetes can be a pain for first-time users.
#Kubernetes#Spark#Python#

[muhammaddanishiqbal]

can you please share any repo link for these yamls ?

[sunnyjain]

Thanks much...Fortunately I ended up here after long quest

[PrakashReddyK]

Thank you for this content, i was looking to run spark application on Kubernetes and stumbled up on this video, can you please provide git repo for all the yaml files and also the dockerfile to builld the image. Thank you in advance

[kathirvelmuniraj]

Looking for python example in spark on kubernetes

[ashimov]

so sad that this excellent and rare (in a way) content is being delivered in a such terrible sound quality.