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Spark, Hadoop, and Snowflake for Data Engineering
This course is part of Applied Python Data Engineering Specialization
Free

This Course Includes
coursera
3.5 (20 reviews )
29 hours (approximately)
english
Online - Self Paced
course
Duke University
About Spark, Hadoop, and Snowflake for Data Engineering
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
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..