Spark, Hadoop, and Snowflake for Data Engineering
Completed by Damián Jacob Albino MejÃa
February 10, 2024
29 hours (approximately)
Damián Jacob Albino MejÃa'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: Big Data
- Category: Data Architecture
- Category: Apache Hadoop
- Category: Data Processing
- Category: Model Training
- Category: Data Pipelines
- Category: SQL
- Category: Model Deployment
- Category: DevOps
- Category: Distributed Computing
- Category: Databricks
- Category: Apache Spark
