Spark, Hadoop, and Snowflake for Data Engineering
Completed by IBRAHIM BIN MOHD JAMADI
May 12, 2024
29 hours (approximately)
IBRAHIM BIN MOHD JAMADI '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 Processing
- Category: Apache Hadoop
- Category: MLOps (Machine Learning Operations)
- Category: Python Programming
- Category: Data Architecture
- Category: SQL
- Category: Model Training
- Category: Data Transformation
- Category: Data Quality
- Category: Big Data
- Category: Data Integration
