September 2021
Beginner to intermediate
16h 11m
English
Closed Captioning available in English
Overview
In this 16-hour course, learn how to harness the power of PySpark and AWS for big data projects. You'll cover everything from foundational concepts to advanced techniques, explore Spark's architecture, and implement data processing and machine learning workflows, all while utilizing the AWS cloud.
What I will be able to do after this course
- Understand the Spark and Hadoop architectures and ecosystems.
- Work with Spark RDDs and Dataframes for effective data processing.
- Integrate PySpark workflows into AWS services for cloud-based solutions.
- Build machine learning pipelines using PySpark for real-world applications.
- Develop ETL and data engineering solutions using PySpark on big data.
Course Instructor(s)
Led by the experienced instructors at AI Sciences, this course aims to provide practical, hands-on programming expertise. The instructors combine academic knowledge with industry experience in data engineering to deliver a focused, project-based learning experience in big data technologies.
Who is it for?
This course is ideal for software engineers, data scientists, and aspiring big data engineers with prior experience in Python programming. Learners interested in gaining cloud computing expertise and understanding real-world applications of PySpark would greatly benefit from this course.
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