This course covers data engineering fundamentals, including data collection, storage, processing, and analysis. It explores the entire data pipeline and the technologies used, preparing students to apply these skills to real-world use cases in analytics and machine learning.
Explore data collection, storage and processing techniques
Examine storage options (relational, NoSQL, real time and other options)
Evaluate how to design and implement ETL/ELT/ingestion processes
Gain knowledge of machine learning applications
Apply concepts to build scalable data pipelines
About this course:
This course introduces data engineering. Learn about problems, opportunities and challenges that data engineering and technologies solve, including data collection, storage, processing, and analysis. Explore the technologies and tools used in data engineering, and covers the entire data pipeline, from data ingestion/ETL/ELT and storage to processing as well as serving data for analytics and machine learning applications. Students will learn about various use cases to apply these skills to.
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