Apache Spark: Design & Execute ETL Pipelines Hands-On
Completed by Guilherme Martins
October 15, 2025
4 hours (approximately)
Guilherme Martins'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: Data Store
- Category: Apache Spark
- Category: Data Pipelines
- Category: MySQL
- Category: Data Analysis
- Category: Data Engineering
- Category: PySpark
- Category: Apache Hadoop
- Category: Data Processing
- Category: Development Environment
