Apache Spark: Design & Execute ETL Pipelines Hands-On
Completed by Beth Clarke
January 23, 2026
4 hours (approximately)
Beth Clarke's account is verified. Coursera certifies their successful completion of Apache Spark: Design & Execute ETL Pipelines Hands-On
What you will learn
Install and configure PySpark, Hadoop, and MySQL for ETL workflows.
Build Spark applications for full and incremental data loads via JDBC.
Apply transformations, handle deployment issues, and optimize ETL pipelines.
Skills you will gain
- Category: Exploratory Data Analysis
- Category: Data Transformation
- Category: Data Import/Export
- Category: Software Installation
- Category: SQL
- Category: PySpark
- Category: Apache Hadoop
- Category: Development Environment
- Category: Apache Spark
- Category: Data Processing
- Category: MySQL
- Category: MySQL Workbench
