Spark, Hadoop, and Snowflake for Data Engineering
Completed by Evelyn Patricia Gutiérrez Ayala
February 24, 2025
29 hours (approximately)
Evelyn Patricia Gutiérrez Ayala'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: Data Quality
- Category: Big Data
- Category: Data Integration
- Category: Python Programming
- Category: MLOps (Machine Learning Operations)
- Category: Data Transformation
- Category: Apache Spark
- Category: Distributed Computing
- Category: Databricks
- Category: Snowflake Schema
- Category: DevOps
