SESSION Details

Data Engineering the Hard Way: Developing Spark Applications on Kubernetes

Managed Services like Databricks are fantastic for allowing data teams to get to work quickly. But what if such an option doesn’t exist in your environment?

And what if such a DIY approach created other opportunities, such as enabling developers to work in a realistic enviroment locally on the desktop?

Using containers, on top of Kubernetes has enabled us to achieve this.

Join us for a discussion of how we started on this journey, and what we learned along the way.

Feedback link https://sqlb.it/?7121

Starts: 16:40 10th Mar 2022
Ends: 17:00 10th Mar 2022

Q&As

Short Description
- Self-hosting Spark in Containers
Other technologies
- Docker, Kubernetes

Slidedeck Link

Data Engineering the Hard Way.pdf

Speakers

Gavin Campbell
Edward Allen

Tags

Platform AgnosticDataOpsDeploymentDevelopingSuccessful DeliverySparkIntermediateWhat

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