Name: Linux for Data Engineers (Hands On)
Availability: InStock

What You'll Learn

Understand Linux distributions and why Linux is important for data engineers.
Install Ubuntu Desktop on your machine (step-by-step, including Windows 10 setup).
Explore the Linux file system structure and navigate effectively.
Perform basic Linux operations (files, directories, users, processes).
Work with system log files such as /var/log to monitor and troubleshoot.
Learn and use file permissions (chmod) to secure files.
Practice with Linux editors (nano and vi) to edit files and configurations.
Master keyboard shortcuts to increase productivity.
Write bash shell scripts to automate repetitive tasks.
Work with functions, parameters, loops, and conditional statements in scripts.
Understand interactive shell scripting for real-world automation.
Apply scripting knowledge to tasks like parsing logs, scheduling jobs, and managing data.

Requirements

No prior Linux knowledge required – we start from the basics.
A computer (Windows, macOS, or Linux) with internet connection.
Ability to install Ubuntu Desktop (we will guide you step by step).
Basic understanding of data engineering concepts is helpful but not mandatory.
Willingness to practice Linux commands and scripting for a hands-on learning experience.

Data Engineers & Big Data Developers who need Linux for Hadoop, Spark, and other ecosystem tools.
SQL Developers or Analysts transitioning into data engineering roles.
Beginners in Linux who want a structured, hands-on introduction.
Students and Professionals who want to build a career in data engineering, big data, or cloud technologies.

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22 Courses

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