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Scripts and guides used to deploy big data processing engines on local machines.
Distinct from Big Data Processing: Focuses on the act of installation and deployment rather than the processing frameworks themselves.
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This project is a collection of scripts and configuration files designed to automate the deployment of developer toolsets, big data tools, and system-wide dotfiles. It serves as a provisioning system for installing languages, data analysis tools, and system dependencies across diverse programming stacks. The suite provides specialized automation for macOS developer onboarding and the setup of Python data science workflows. It includes dedicated installers for distributed processing engines like Spark and Hadoop, as well as environments for web and mobile development. The system covers a broa
Ships a set of configuration guides and scripts for deploying Spark and Hadoop on local machines.