Unit 1: Introduction to Data Engineering
Unit 2: Data Engineering Lifecycle
Unit 3: Data Sources
Intro to Data Engineering
A comprehensive introduction to data engineering principles, tools, and techniques for building robust and scalable data pipelines.
Unit 1: Batch Data Ingestion
Unit 2: Streaming Data Ingestion
Unit 3: Change Data Capture (CDC)
Unit 4: Data Storage Solutions
Unit 1: Introduction to Data Processing
Unit 2: Workflow Management with Airflow
Unit 3: Data Transformation with Spark
Unit 4: Data Quality and Validation
Unit 1: Cloud Computing Fundamentals for Data Engineering
Unit 2: Cloud Data Engineering Platforms: AWS, Azure, GCP
Unit 3: Data Pipeline Monitoring and Alerting
Unit 4: Data Orchestration and Automation
Unit 5: Real-World Challenges and Solutions