Spark, Hadoop, and Snowflake for Data Engineering
Completed by Hiya Ghosh
October 10, 2024
29 hours (approximately)
Hiya Ghosh'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: Apache Hadoop
- Category: Big Data
- Category: Model Deployment
- Category: Snowflake Schema
- Category: PySpark
- Category: Data Pipelines
- Category: Data Warehousing
- Category: Data Integration
- Category: Data Quality
- Category: Data Architecture
- Category: SQL
- Category: Model Training
