Docker Dev Workflow for Apache Spark

Written by jstephan | Published 2020/12/19
Tech Story Tags: apache-spark | docker | kubernetes | data-engineering | big-data | data-science | spark | programming

TLDRThe benefits that come with using Docker containers are well known: they provide consistent and isolated environments so that applications can be deployed anywhere - locally, in dev / testing / prod environments, across all cloud providers, and on-premise - in a repeatable way. via the TL;DR App

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Written by jstephan | Co-Founder @ Data Mechanics (www.datamechanics.co). Previously software engineer @ Databricks.
Published by HackerNoon on 2020/12/19