Spark, Hadoop, and Snowflake for Data Engineering
Completed by Yusuke Satani
March 23, 2025
29 hours (approximately)
Yusuke Satani'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 Processing
- Category: Snowflake Schema
- Category: Data Warehousing
- Category: Data Integration
- Category: Apache Spark
- Category: Distributed Computing
- Category: Databricks
- Category: Apache Hadoop
- Category: Data Quality
- Category: Model Deployment
- Category: Big Data
- Category: Data Pipelines
