Data Engineering Foundations in Python
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This course is about data engineering using GCP, Python, Kafka, PySpark, and Airflow, covering the entire data lifecycle from ingestion to transformation.
Data engineering is currently one of the most in-demand fields in data and technology. It intersects software engineering, DataOps, data architecture, data management, and security. Data engineers, such as analysts and data scientists, lay the foundation to serve data for consumers.
In this course, you will learn the foundation of data engineering, covering different parts of the entire data life cycle: data warehouse, ingestion, transformation, orchestration, etc. You will also gain hands-on experience building data pipelines using different techniques such as Python, Kafka, PySpark, Airflow, dbt, and more.
By the end of this course, you will have a holistic understanding of data engineering and be able to build your data pipelines to serve data for various consumers.
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