Linux for Data Science & Big Data Infrastructure
Welcome to Linux for Data Science & Big Data Infrastructure — your gateway to mastering the operating system that powers the modern data world.
Overview
If you’re a Data Engineer, Data Scientist, or Machine Learning practitioner, this course will teach you how to harness Linux to build, manage, and optimize the backbone of large-scale data systems.
Why Linux?
From Hadoop and Spark clusters to ETL automation and cloud pipelines, Linux is the foundation of every serious data platform. Knowing how to navigate, automate, and tune Linux systems turns you from a script-running user into a true data infrastructure engineer.
In this course, you’ll move beyond basic commands and learn how to:
- Set up Linux clusters for distributed computing
- Deploy Hadoop and Spark on multi-node systems
- Automate ETL pipelines with shell scripting
- Tune system performance for heavy data workloads
- Secure and monitor your data infrastructure like a pro
What You’ll Build
Throughout the course, you’ll set up your own mini-data cluster, deploy big-data frameworks, and build automation scripts that mimic real-world data engineering workflows. Each module includes hands-on labs, quizzes, and downloadable resources designed to prepare you for production-grade environments.
By the end, you’ll be able to confidently:
- Manage and optimize Linux environments for analytics
- Integrate Hadoop/Spark with data pipelines
- Write efficient shell scripts for large-scale ETL
- Troubleshoot and tune performance like a senior data engineer
Your Journey Starts Here
Whether you’re running experiments on your laptop or orchestrating terabytes of data in the cloud, Linux is where all great data systems begin.
Let’s dive in, open the terminal, and start building the backbone of your data infrastructure.
Curriculum
- 9 Sections
- 56 Lessons
- 90 Days
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- Course Resources & Tools1
- Module 1: Introduction to Linux for Data Professionals11
- 2.1Lecture 1: Why Linux Dominates Data Infrastructure?
- 2.2Lecture 2: Filesystem, Permissions, and Processes Overview
- 2.3Lecture 3: Understanding systemctl Commands for Hadoop and Spark
- 2.4Lecture 4: Navigating Large Datasets in the CLI
- 2.5Lecture 5: Working with CSV, JSON, and Log Files
- 2.6Video: Introduction to Linux for Data Professionals
- 2.7Generate Your 1 GB Practice Dataset
- 2.8Hands-On activity: Analyze a 2 GB CSV File Using Linux Command-Line Tools3 Days
- 2.9Assignment: Shell ETL – Filter & Aggregate Sales Data (No Python/R)3 Days
- 2.10Linux Command Reference for Data Ops
- 2.11Quiz: Introduction to Linux20 Questions
- Module 2: Environment Setup & Cluster Configuration11
- 3.1Lecture 1: Installing Linux on VM, WSL, or Cloud (Ubuntu Server 22.04)
- 3.2Lecture 2: User Management, SSH Key Setup, and Inter-Node Communication
- 3.3Bonus: Difference Between useradd and adduser in Linux
- 3.4Lecture 3: Basics of Networking, /etc/hosts, and Passwordless SSH
- 3.5Lecture 4: Introduction to systemd Services and Daemons for Distributed Components
- 3.6Video: Environment Setup & Cluster Configuration
- 3.73-Node Cluster Configuration Guide
- 3.8Sample /etc/hosts File
- 3.9Hands-On Activity: Create a 3-Node Linux Cluster
- 3.10Assignment: Configure Passwordless SSH and Verify Node Connectivity3 Days
- 3.11Quiz: Environment Setup & Cluster Configuration20 Questions
- Module 3: Hadoop & HDFS on Linux10
- 4.1Lecture 1: Understanding Hadoop Architecture
- 4.2Lecture 2: Installing Java and Hadoop on Linux
- 4.3Lecture 3: Starting and Testing the HDFS Cluster
- 4.4Lecture 4: Running Your First MapReduce Job on Linux
- 4.5Video: Hadoop & HDFS on Linux
- 4.6Hadoop Deployment Automation Resources
- 4.7Hands-on Activity: Deploy a Single-Node to 3-Node Hadoop Cluster
- 4.8Hands-on Activity: Upload and Process a CSV in HDFS
- 4.9Assignment: Bash Automation — Deploy Hadoop on Multiple Nodes3 Days
- 4.10Quiz: Hadoop and HDFS on Linux20 Questions
- Module 4: Spark on Linux10
- 5.1Lecture 1: Apache Spark Overview — Executors, Drivers, and YARN
- 5.2Lecture 2: Installing and Running Spark Standalone on Linux
- 5.3Lecture 3: Submitting Jobs via CLI and Python Scripts
- 5.4Lecture 4: Integrating Spark with HDFS
- 5.5Video: Spark on Linux
- 5.6Spark Setup and ETL Practice
- 5.7Hands-on Activity: Set Up Apache Spark Standalone and Verify via Web UI
- 5.8Hands-on Activity: Run a PySpark Job to Read and Write Data in HDFS
- 5.9Assignment: Build & Submit a Spark Job via Shell Script Automation3 Days
- 5.10Quiz: Spark on Linux20 Questions
- Module 5: Linux for ETL and Automation8
- 6.1Lecture 1: ETL Overview Using Linux Tools
- 6.2Lecture 2: Building Pipelines with Shell Scripts
- 6.3Lecture 3: Integrating Linux Scripts with Airflow or Luigi
- 6.4Lecture 4: Using curl, wget, and jq for API and JSON Data Ingestion
- 6.5Video: Linux for ETL and Automation
- 6.6Hands-on Activity: Automate a Daily Data Fetch & Transform with Bash
- 6.7Assignment: Build a fully automated ETL shell script pulling CSV data from API and processing it into local HDFS3 Days
- 6.8Quiz: Linux for ETL and Automation20 Questions
- Module 6: Performance Tuning for Data Workloads9
- 7.1Lecture 1: CPU, Memory, and I/O Profiling Tools
- 7.2Lecture 2: Linux Kernel Parameters and Tuning for Hadoop/Spark
- 7.3Lecture 3: Filesystems & Storage Fundamentals for Big-Data Workloads (Disk I/O Optimization)
- 7.4Lecture 4: Using cgroups and ulimit for Resource Control
- 7.5Video: Performance Tuning for Data Workloads
- 7.6Hands-On Activity: Measure Spark Job Performance Before and After Memory Tuning
- 7.7Resources for Performance Tuning and Monitoring
- 7.8Assignment: Tune and Document 3 Kernel Parameters for Better Data Performance3 Days
- 7.9Quiz: Performance Tuning for Data Workloads20 Questions
- Module 7: Security and Access Management7
- 8.1User and Group Management for Data Clusters
- 8.2File Permissions and ACLs in HDFS and Linux
- 8.3Using Sudoers and Restricting Access for Jobs
- 8.4Key Management, SSH Hardening, and Basic Firewalls
- 8.5Hands-On Activity: Simulating Hadoop Security — User ACLs & SSH Key Rotation (No Real Cluster Required)
- 8.6Troubleshooting: Fixing Common ACL & SSH Key Rotation Issues
- 8.7Quiz: Security And Access Management20 Questions
- Module 8: Capstone Project — Data Pipeline on Linux4
$199.99
Course Features
- Lectures 56
- Quizzes 7
- Duration 90 days
- Skill level Intermediate
- Language English
- Students 1
- Certificate Yes
- Assessments Self