Spark, Hadoop, and Snowflake for Data Engineering
Completed by Molla Shitab Tanzim
January 31, 2025
29 hours (approximately)
Molla Shitab Tanzim'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: Data Warehousing
- Category: Python Programming
- Category: Data Architecture
- Category: SQL
- Category: Model Training
- Category: Data Transformation
- Category: Data Processing
- Category: DevOps
- Category: PySpark
- Category: Databricks
- Category: MLOps (Machine Learning Operations)
