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Course overview

Linux for Big Data

4.9· trusted by learners

Master Linux from the command line to system administration — the foundational skill behind DevOps, cloud and big data engineering. Learn the filesystem, permissions, grep, sed, awk, Bash scripting, systemd and security through hands-on labs, a live server capstone and placement support.

  • Hands-on, project-based curriculum
  • Live doubt-clearing sessions
  • Industry-recognised certification
  • Dedicated placement assistance
3 Months (12 Weeks) Advanced
Key highlights
  • 13 modules · 63 lessons
  • 3 Months (12 Weeks) — live cohort
  • Weekly doubt-clearing
  • Mentor-reviewed projects
  • Placement assistance
About this course

Linux for Big Data is the practical foundation required for anyone building, operating, or scaling distributed data systems. Modern data platforms, container engines, and cloud nodes run exclusively on Linux, and engineers who master the shell operate with total confidence. This comprehensive program takes you from your very first terminal command to managing and securing production-grade Linux servers.

You will start with the essentials of the command line, filesystem hierarchies, and user permission models. From there, you progress to advanced text processing with grep, sed, and awk, allowing you to parse massive log files and datasets directly in the terminal. You will also learn how to write automated Bash shell scripts to handle repetitive operations, manage system processes using systemd, configure secure OpenSSH access, and monitor resource consumption under heavy workloads.

This hands-on training pairs naturally with ecosystem tools such as Apache Hadoop and Apache Kafka, ensuring you understand the underlying operating system mechanics of every distributed pipeline you build. Once you master system administration fundamentals here, many learners transition directly into building complex analytics workflows covered in our Data Science curriculum or dive deeper into automation through the DevOps & Automation Bootcamp.

What you'll actually work on

  • Provision, configure, and secure a production-ready Linux server on a virtual machine or cloud instance from scratch
  • Build robust Bash shell scripts to automate data ingestion tasks, scheduled backups, and log rotation via cron
  • Diagnose memory leaks, high CPU utilization, and disk pressure on busy nodes using top, htop, and journald
  • Configure secure networking rules, firewalls with ufw, and SSH key-based access control policies
  • Manage physical storage volumes, partitions, and dynamic resizing using Logical Volume Management (LVM) for large data stores
  • Deploy, manage, and troubleshoot background daemons and services using systemctl and systemd service units

Who this course is for and how classes run

This course is built for students, freshers, and working developers looking to master the operating system that powers backend infrastructure. You do not need any prior Linux or command-line experience to join. All sessions are conducted live online by working engineers in timezone-friendly batches, featuring real-time coding labs, interactive troubleshooting, and direct mentorship.

The global job market for data engineering, cloud, and DevOps roles treats Linux fluency as a strict baseline requirement. Technical interview loops frequently test your ability to navigate directories, inspect process trees, and debug failing services under pressure. Throughout the program, you will build a comprehensive portfolio of practical scripts and configurations, culminating in a capstone project where you administer a fully hardened server. For those tracking operational reliability and alerting metrics, pairing these skills with System Monitoring & Observability provides the complete production toolkit.

Take the next step in your technical journey by mastering the universal operating system of modern engineering. Explore our comprehensive Linux reference materials or review the broader backend track such as Data Structures and Algorithms using Java to see how low-level execution connects with algorithmic problem-solving.

Course details

Everything you'll learn & master

A structured curriculum with real tools and outcomes built for the workplace.

13 modules
63 lessons
16 tools
Certificate
Live course Self-paced Industry expert Academic faculty
Module 1

You can spin up an isolated virtual environment and navigate complex directory trees using core shell commands without relying on a graphical user interface.

  1. What Linux is: the kernel, distributions and open source90 min
    • Linux kernel vs GNU userland
    • Distributions: Debian, Ubuntu, RHEL and Alpine
    • Open source licensing and the command-line philosophy
  2. Installing Linux: virtual machines, WSL and the cloud90 min
    • VirtualBox and KVM hypervisors
    • Windows Subsystem for Linux (WSL2)
    • Launching EC2 or cloud VM instances via SSH
  3. The shell, the terminal and your first commands90 min
    • Bash and Zsh shell environments
    • Standard input, output and exit codes ($?)
    • echo, pwd, history and clear commands
  4. Navigating files and directories90 min
    • Absolute vs relative paths
    • cd, ls with flags (-la, -lh), mkdir and rmdir
    • Using tab completion and command history shortcuts
  5. Getting help: man, --help and info90 min
    • Reading man page sections (1 through 8)
    • Using command --help and type flags
    • Navigating built-in search with less inside man

Hands-on project: Provision a local Ubuntu container or virtual machine via WSL, navigate the root directory structure, and document the kernel version, CPU architecture, and available memory using system utility flags.

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

Module 13

Who teaches you

Our instructors

Every instructor here ships production code for a living and teaches the same week they deploy.

  • Swati Tyagi — Senior Full Stack and Mobile App Developer, Squarebrackets trainer

    Swati Tyagi

    Senior Full Stack and Mobile App Developer

  • Vaishali Tyagi

    Co-Founder and Soft Skills Mentor

  • Himanshu Mudgal — Lead DevOps Engineer, Squarebrackets trainer

    Himanshu Mudgal

    Lead DevOps Engineer

  • Ravi Tyagi — Lead AI Engineer & Generative AI Systems Engineer, Squarebrackets trainer

    Ravi Tyagi

    Lead AI Engineer & Generative AI Systems Engineer

Real stories

Where our learners landed.

5 learners sharing their experience

1 / 5
“

The Full-Stack Java developer program at Squarebrackets completely transformed my career. Learning Spring Boot and microservices architecture alongside React and Next.js gave me the exact modern stack companies are looking for. Building real-time projects using Apache Kafka and RabbitMQ for message queuing gave me the practical confidence I needed to ace my system design rounds.

Ankit transitioned from a legacy support engineer to a high-paying product development role after completing his 6-month intensive Java and JavaScript full-stack training at our Noida campus.

Ankit Srivastava profile
Ankit Srivastava
Software Engineer · Student
Aug 2026
“

Squarebrackets took me from not knowing what a gradient was to building and deploying CNNs and Transformers. The maths-first approach made everything click, and the mentors pushed me through every hard concept.

Completed the Deep Learning Course at Squarebrackets and landed a deep learning role within two months.

Pradeep Sharma profile
Pradeep Sharma
Student
Jun 2026
“

Squarebrackets gave me the complete AI picture — from search algorithms and Bayesian reasoning to building LLM agents. The maths-first approach meant nothing was a black box, and the mentors pushed me through every project.

Completed the Artificial Intelligence Course at Squarebrackets and moved into an AI engineering role within two months.

Arjun Saini profile
Arjun Saini
Student
Jun 2026
“

The Java Full-Stack and DSA course at Squarebrackets completely changed my career trajectory. The focus on raw problem-solving with DSA alongside hands-on Spring Boot and React projects gave me the practical skills I needed. I went from struggling with basic coding rounds to cracking my technical interview with absolute confidence.

Aniket joined Squarebrackets as a college senior looking to transition from theoretical academic projects to production-ready software development. After completing our rigorous training program, he secured a placement as an Associate Software Engineer.

AS
Aniket Sharma
Associate Software Engineer · Capgemini
Aug 2026
“

The live cohort broke down complex concepts like Spring Boot transaction management and React state handling in a way that made immediate sense for production work. Having worked through real backend architectures during class, my daily code reviews at work became much smoother.

Completed the Java Full Stack live training while balancing a full-time role, upgrading engineering skills through rigorous hands-on sessions.

Harshmeet profile
Harshmeet
Student
Oct 2026
Success Stories

What our learners say

Written testimonials

Verified

“The Full-Stack Java developer program at Squarebrackets completely transformed my career. Learning Spring Boot and microservices architecture alongside React and Next.js gave me the exact modern stack companies are looking for. Building real-time projects using Apache Kafka and RabbitMQ for message queuing gave me the practical confidence I needed to ace my system design rounds.”

Ankit Srivastava

Ankit Srivastava

Software Engineer, Student

Verified

“Squarebrackets took me from not knowing what a gradient was to building and deploying CNNs and Transformers. The maths-first approach made everything click, and the mentors pushed me through every hard concept.”

Pradeep Sharma

Pradeep Sharma

Student

Verified

“Squarebrackets gave me the complete AI picture — from search algorithms and Bayesian reasoning to building LLM agents. The maths-first approach meant nothing was a black box, and the mentors pushed me through every project.”

Arjun Saini

Arjun Saini

Student

Verified

“The Java Full-Stack and DSA course at Squarebrackets completely changed my career trajectory. The focus on raw problem-solving with DSA alongside hands-on Spring Boot and React projects gave me the practical skills I needed. I went from struggling with basic coding rounds to cracking my technical interview with absolute confidence.”

Aniket Sharma

Associate Software Engineer, Capgemini

Verified

“The live cohort broke down complex concepts like Spring Boot transaction management and React state handling in a way that made immediate sense for production work. Having worked through real backend architectures during class, my daily code reviews at work became much smoother.”

Harshmeet

Harshmeet

Student

Trusted by teams

Companies our learners work at

Xebia
Tata Consultancy Services (TCS)
HCL Tech
Redbus Industrial Training
Genspark
L'Oréal
Microtek Learning
UST Global
Muoro
Frequently asked

Got questions?
We've got answers.

Browse the common questions, or reach out and our team will help you directly.

No prior experience is required. Everything is taught from the very first command, with no assumptions about prior Linux knowledge. Basic computer literacy is enough to start, and building real confidence at the terminal is the primary goal.

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