This course provides a foundational understanding of data engineering principles. Learn how data is collected, stored, processed, and managed to support data analysis and AI applications. Gain insight into data pipelines, storage systems, and the tools data engineers use daily.
Prerequisites None
Level:
Core Concepts
Define data engineering and differentiate it from related roles like data science and analysis.
Data Lifecycle
Understand the stages involved in the lifecycle of data, from generation to storage and processing.
Data Pipelines
Explain the concepts behind data pipelines, including ETL and ELT processes.
Data Storage
Identify different types of data storage solutions like databases, data warehouses, and data lakes.
Data Processing
Describe the difference between batch and stream data processing.
Essential Tools
Recognize common tools used in data engineering, including SQL and version control.
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