Data Engineering Essentials

Master the art of building robust data pipelines and managing big data infrastructure

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Course Overview

What You'll Learn

  • Data pipeline architecture
  • ETL process development
  • Big data technologies
  • Data warehousing concepts
  • Cloud platforms (AWS, Azure)
  • Data modeling and optimization
  • Data quality and testing
  • Real-time data processing

Course Features

Duration

12 Weeks

Format

Live Online Classes

Certificate

Industry Recognized

Batch Size

Maximum 15 Students

Curriculum

Week 1-3: Foundations

  • Introduction to Data Engineering
  • SQL and Database fundamentals
  • Python for Data Engineering
  • Data modeling basics

Week 4-6: ETL & Data Pipelines

  • ETL process design
  • Apache Airflow
  • Data quality and validation
  • Pipeline monitoring and logging

Week 7-9: Big Data Technologies

  • Apache Spark
  • Hadoop ecosystem
  • Stream processing
  • Data lakes and warehouses

Week 10-12: Cloud & Production

  • AWS/Azure services
  • Infrastructure as Code
  • Production deployment
  • Capstone project

Industry Projects

Data Warehouse Project

Data Warehouse

Build an end-to-end data warehouse solution

Streaming Pipeline Project

Streaming Pipeline

Develop real-time data processing pipeline

Cloud Migration Project

Cloud Migration

Migrate on-premise data to cloud platform