Spark, Hadoop, and Snowflake for Data Engineering
Completed by Arte Carl Spanjers
February 8, 2024
29 hours (approximately)
Arte Carl Spanjers'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: Snowflake Schema
- Category: DevOps
- Category: Data Processing
- Category: Data Pipelines
- Category: Big Data
- Category: Data Integration
- Category: Data Quality
- Category: Model Deployment
- Category: Apache Hadoop
- Category: Apache Spark
- Category: Data Transformation
- Category: Python Programming
