5hr Data Engineering Boot Camp

Welcome to the 5hr Data Engineering Boot Camp! This intensive course is designed to give you a practical understanding of modern data engineering concepts and tools. Whether you’re a software engineer looking to transition into data engineering or a data analyst wanting to expand your skills, this boot camp will provide you with the essential knowledge and hands-on experience you need.

What You’ll Learn

In just 5 hours, you’ll cover:

Hour 1: Data Engineering Fundamentals
- Understanding data pipelines
- Data modeling basics
- ETL vs ELT
- Data quality and testing
Hour 2: Data Storage and Processing
- Data warehouses vs data lakes
- SQL and NoSQL databases
- Batch vs streaming processing
- Data partitioning and optimization
Hour 3: Data Pipeline Development
- Building ETL pipelines with Python
- Working with Apache Airflow
- Data transformation techniques
- Error handling and monitoring
Hour 4: Data Quality and Testing
- Data validation frameworks
- Unit testing for data pipelines
- Data quality metrics
- Monitoring and alerting
Hour 5: Real-world Project
- End-to-end data pipeline implementation
- Best practices and patterns
- Performance optimization
- Production deployment

Prerequisites

Basic Python programming knowledge
Familiarity with SQL
Understanding of basic data concepts
A computer with Python 3.8+ installed

Getting Started

Each section includes:

Hands-on exercises
Code examples
Best practices
Common pitfalls to avoid

Ready to begin your data engineering journey? Let’s start with Hour 1: Data Engineering Fundamentals!