Apache Spark: Design & Execute ETL Pipelines Hands-On
Completed by Mahalaxmi Srinivasan
May 18, 2026
4 hours (approximately)
Mahalaxmi Srinivasan'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: Data Import/Export
- Category: Data Transformation
- Category: Exploratory Data Analysis
- Category: Data Pipelines
- Category: MySQL
- Category: Apache Spark
- Category: Data Processing
- Category: Software Installation
- Category: SQL
- Category: PySpark
- Category: Development Environment
- Category: MySQL Workbench
