Apache Spark: Design & Execute ETL Pipelines Hands-On
Completed by Vishal Pandey
May 12, 2026
4 hours (approximately)
Vishal Pandey'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: Apache Spark
- Category: Data Processing
- Category: Data Store
- Category: Data Pipelines
- Category: Development Environment
- Category: MySQL
- Category: MySQL Workbench
- Category: Data Analysis
- Category: Data Engineering
- Category: Software Installation
