Spark, Hadoop, and Snowflake for Data Engineering
Completed by Arjun Mann
September 18, 2026
29 hours (approximately)
Arjun Mann's account is verified. Coursera certifies their successful completion of Spark, Hadoop, and Snowflake for Data Engineering
What you will learn
Create scalable data pipelines (Hadoop, Spark, Snowflake, Databricks) for efficient data handling.
Optimize data engineering with clustering and scaling to boost performance and resource use.
Build ML solutions (PySpark, MLFlow) on Databricks for seamless model development and deployment.
Implement DataOps and DevOps practices for continuous integration and deployment (CI/CD) of data-driven applications, including automating processes.
Skills you will gain
- Category: Data Integration
- Category: Snowflake Schema
- Category: DevOps
- Category: PySpark
- Category: Data Architecture
- Category: SQL
- Category: Model Training
- Category: Python Programming
- Category: MLOps (Machine Learning Operations)
- Category: Data Transformation
- Category: Apache Spark
- Category: Databricks
