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Spark, Hadoop, and Snowflake for Data Engineering

This course is part of Applied Python Data Engineering Specialization

     
  • 3.5
  •  |
  • Reviews ( 20 )
Free

This Course Includes

  • iconcoursera
  • icon3.5 (20 reviews )
  • icon29 hours (approximately)
  • iconenglish
  • iconOnline - Self Paced
  • iconcourse
  • iconDuke 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..