- Big Data
- Apache Hadoop
- Data Quality
- Apache Spark
- PySpark
- Data Transformation
- SQL
- Data Processing
- Data Warehousing
- Python Programming
- Data Integration
- Databricks
Spark, Hadoop, and Snowflake for Data Engineering
Completed by Shivam Dharwal
June 17, 2025
29 hours (approximately)
Shivam Dharwal'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
