Spark, Hadoop, and Snowflake for Data Engineering
Completed by Lizeth Armida GarcÃa Valle
April 18, 2024
29 hours (approximately)
Lizeth Armida GarcÃa Valle'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: Data Transformation
- Category: Python Programming
- Category: Distributed Computing
- Category: Data Warehousing
- Category: MLOps (Machine Learning Operations)
- Category: DevOps
- Category: SQL
- Category: Model Training
- Category: Apache Spark
- Category: Databricks
- Category: Model Deployment
