Linux and Bash for Data Engineering

Duke University via Coursera

Go to Course: https://www.coursera.org/learn/linux-and-bash-for-data-engineering-duke

Introduction

**Course Review: Linux and Bash for Data Engineering on Coursera** In today’s data-driven world, proficiency in handling data seamlessly across various platforms is critical. For individuals looking to break into data engineering, having a solid grounding in Linux and Bash is essential. The course **"Linux and Bash for Data Engineering,"** an offering from Coursera as part of the “Python, Bash and SQL Essentials for Data Engineering Specialization,” is an excellent choice for learners looking to build or enhance their technical repertoire in these areas. ### Course Overview The course is designed as a practical introduction to Linux and Bash, focusing on their application in data engineering tasks. Over four weeks, you will not only learn the fundamentals of Linux but will also delve into interactive scripting with Bash and zsh, ultimately developing the skills necessary for managing databases and processing data efficiently within a Bash environment. ### Syllabus Breakdown 1. **Using Linux**: The initial week sets the foundation by introducing learners to the Linux operating system. This week emphasizes problem-solving using Linux, exploring the key components of the Linux shell, and illustrating their application in typical scenarios related to software engineering and data engineering. By the end of this module, you’ll gain confidence in navigating the Linux environment, which is a significant part of any data engineering role. 2. **Using Bash**: The second week takes you further into the world of Bash scripting. Here, you’ll dive into creating and configuring Bash scripts to optimize your development environment. This section covers essential elements such as Shell variables, Standard In, and Standard Out, which are crucial for data manipulation within the shell. The focus is on practical applications that enhance your operational efficiency. 3. **Building Bash Scripts**: Building on the previous week, you'll learn to create custom Bash scripts to solve common data engineering problems. This module emphasizes Shell logic and dealing with data within the shell while providing hands-on practice in developing command-line tools. By the course's conclusion, you will have not only theoretical knowledge but also practical experience in applying Bash scripting to real-world scenarios. 4. **Composing File and Data Solutions**: The final week centers on the integration of your Linux skills to create file and data management solutions. You'll discover how to search and modify files, manage directories, and control permissions. You'll also learn to process text in Bash effectively and create practical search solutions. This section ties together your learning, enabling you to execute complex data operations with ease. ### Why You Should Enroll The **"Linux and Bash for Data Engineering"** course is perfectly tailored for both beginners and those with some technical background looking to solidify their skills. Here are a few compelling reasons to consider this course: - **Hands-On Learning**: The course emphasizes practical exercises that simulate real-life scenarios, making it easier for you to apply what you learn in your professional life. - **Expert Instruction**: The course is developed by experts in the field, ensuring that you receive high-quality, relevant, and up-to-date training. - **Flexible Learning**: Being delivered on Coursera means you can learn at your own pace, making it conducive to different schedules. - **Career Advancement**: Proficiency in Linux and Bash is highly sought after in the data engineering field, and this course can provide a significant boost to your resume. ### Conclusion Overall, **"Linux and Bash for Data Engineering"** is a valuable course for anyone looking to enhance their technical skills in data engineering. With its comprehensive curriculum and practical approach, this course equips learners with the essential tools needed to thrive in a data-centric environment. Whether you are a newcomer to the field or a professional aiming to update your skills, this course is a worthwhile investment in your career development. Don't hesitate to enroll and take your first step toward mastering Linux and Bash for your data engineering journey!

Syllabus

Using Linux

This week you will learn to use Linux to solve technical problems common in software engineering, data engineering and machine learning. You will explore the key parts of the Linux shell, and learn how to implement your knowledge in common scenarios.

Using Bash

This week, you will learn to configure Bash Scripts to enhance and control your Linux development environment and production systems. You will also learn about Shell variables, and how to effectively use Standard In and Standard Out.

Building Bash Scripts

This week, you will learn to build Bash Scripts to solve common problems in Data Engineering. You will also learn about Shell logic, dealing with data in the shell, and how to build command-line tools in Bash. You will then apply this knowledge to create command-line tools in Bash.

Composing File and Data Solutions

This week, you will learn to use Linux to compose file and data management solutions. You will also learn to search the filesystem, modify files, directories and control permissions. You will then process text in Bash and apply this knowledge to create a search solution in Bash.

Overview

In this second course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will learn the fundamentals of Linux necessary to perform data engineering tasks. Additionally, you will explore how to use both Bash and zsh configurations, and develop the syntax needed to interact and control Linux. These skills will allow you to manage and manipulate databases in a Bash environment.

Skills

Bash (Unix Shell) Database (DBMS) Data Management Linux

Reviews

Clear, practical, and perfect for data engineering. Highly recommend!

Good coverage of material, concise explanation albeit too brief sometimes. Good for speed covering of materials

The course is awesome, but it needs to re-sort the subjects of the course..

It's very simple and fundamental course for every Python developer

Transcripts need to be proofread to correct spelling, grammar, and bash command.