Data Infrastructure

Track Course
Advanced
Fully Ready

About the Course

This course teaches the core infrastructure components of modern data engineering, including data collection, storage, processing, and cloud computing. It introduces foundational tools such as Linux, Docker, and Azure, and covers cloud architecture principles and cloud-based big data services. By the end of the course, learners will understand the systems and workflows that support reliable and scalable data infrastructure.

Learning Outcomes

By the end of this course, participants will be able to:

  • Explain the role of core infrastructure components, including data collection, storage, and processing, and understand cloud architecture principles.
  • Navigate and operate within Linux and use Docker for containerization to support scalable data engineering workflows.
  • Deploy and manage big data solutions on the Azure cloud platform, leveraging key services for processing and management.

Curriculum

  • Chapter 1: Introduction to Data Infrastructure

    Overview:

    In this chapter, you will learn the key concepts and components that make up modern data infrastructure.

    Topics:

    • Core infrastructure components
    • Data collection, storage, and processing
    • Overview of cloud computing
  • Chapter 2: Introduction to Linux/Command Line

    Overview:

    In this chapter, you will learn how to navigate and use Linux and the command line to manage infrastructure environments.

    Topics:

    • Basic Linux commands and file system navigation
    • Scripting and automation basics
    • File management and permissions
  • Chapter 3: Introduction to Docker

    Overview:

    In this chapter, you will learn how Docker is used for containerization and managing infrastructure components.

    Topics:

    • Core Docker concepts and terminology
    • Building and running containers
    • Container orchestration basics
  • Chapter 4: Cloud Fundamentals

    Overview:

    In this chapter, you will learn the principles of cloud computing and how cloud architecture supports infrastructure.

    Topics:

    • Cloud service models (IaaS, PaaS, SaaS)
    • Cloud architecture principles
    • Networking and security basics
  • Chapter 5: Cloud Big Data Services

    Overview:

    In this chapter, you will learn about cloud-based big data services and deployment tools for managing scalable infrastructure.

    Topics:

    • Big data storage and processing services
    • Deployment and orchestration tools
    • Monitoring and management in cloud environments

Tools

Linux (Ubuntu)
Shell scripting
Docker ( CLI, Compose)
Azure (VM, Blob Storage, ADLS, Synapse, Databricks)
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Common Questions

Find answers to your questions about the Learning Track
  • Standard Courses: Focused, short courses that build foundational or intermediate skills through hands-on exercises, enabling you to apply what you learn immediately.
  • Track Courses: Structured learning paths that guide you from beginner to advanced levels. They include practical projects that integrate multiple tools and workflows, aligned with industry best practices, helping you gain the skills and confidence to tackle real-world challenges.

No. Track Courses are only accessible through the Professional or Unlimited+ subscription plans.

  • Standard Plan gives you access to all Standard Courses.
  • Professional Plan gives you access to both Standard and Track Courses within your chosen domain.
  • Unlimited+ Plan provides full access to all courses — both Standard and Track — across all domains.

 

Yes, all courses are designed to be self-paced. Learn when it fits your schedule.

Each course includes prerequisites if needed. Many Standard Courses are beginner-friendly.

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