Spark, Hadoop, and Snowflake for Data Engineering
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About this course
Gain the skills for building efficient and scalable data pipelines. Explore essential data engineering platforms (Hadoop, Spark, and Snowflake) and learn how to optimize them using Python, PySpark, and MLflow.
What you'll learn
- understand the architecture and functionalities of Spark, Hadoop, and Snowflake
- learn to build and optimize data pipelines using Python
- apply PySpark and MLflow for data processing and model management
Course objectives
- equip learners with the skills to construct scalable data pipelines
- provide knowledge on optimizing data engineering tools
Skills you'll gain
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