Spark, Hadoop, and Snowflake for Data Engineering
Completed by Aishwarya Elangovan Vasanthi
April 7, 2025
29 hours (approximately)
Aishwarya Elangovan Vasanthi'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 Pipelines
- Category: Model Deployment
- Category: Data Processing
- Category: Big Data
- Category: Distributed Computing
- Category: Apache Spark
- Category: Databricks
- Category: Data Quality
- Category: Snowflake Schema
- Category: DevOps
- Category: PySpark
- Category: Data Integration
