Spark, Hadoop, and Snowflake for Data Engineering
Completed by Deepika Annam
April 4, 2025
29 hours (approximately)
Deepika Annam'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 Architecture
- Category: Snowflake Schema
- Category: Data Transformation
- Category: SQL
- Category: Data Quality
- Category: DevOps
- Category: Data Integration
- Category: MLOps (Machine Learning Operations)
- Category: Data Warehousing
- Category: Apache Hadoop
- Category: Python Programming
- Category: Model Deployment
