Spark, Hadoop, and Snowflake for Data Engineering
Completed by Shivani Sankaran
December 18, 2023
29 hours (approximately)
Shivani Sankaran'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: Model Deployment
- Category: Distributed Computing
- Category: Databricks
- Category: Model Training
- Category: MLOps (Machine Learning Operations)
- Category: Data Quality
- Category: Apache Spark
- Category: SQL
- Category: Big Data
- Category: DevOps
- Category: Snowflake Schema
- Category: Data Processing
