Lesson 1
Introduction to the Course
In this lesson, you will learn more about this course - what will be covered, and who you will be learning from - let's get started!
Course
Last Updated March 7, 2022
Prerequisites:
No experience required
Lesson 1
In this lesson, you will learn more about this course - what will be covered, and who you will be learning from - let's get started!
Lesson 2
In this lesson, you will learn about the problems that Apache Spark is designed to solve. You'll also learn about the greater Big Data ecosystem and how Spark fits into it.
Lesson 3
In this lesson, we'll dive into how to use Spark for cleaning and aggregating data.
Lesson 4
In this lesson, you will learn to run Spark on a distributed cluster in AWS UI and AWS CLI.
Lesson 5
In this lesson, you will learn best practices for debugging and optimizing your Spark applications.
Lesson 6
In this lesson, we'll explore Spark's ML capabilities and build ML models and pipelines.
VP of Engineering at Insight
David is VP of Engineering at Insight where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a PhD in Physics from UC Riverside.
Senior Data Engineer at Netflix
Judit is a Senior Data Engineer at Netflix. Formerly a Data Engineer at Split, where she worked on the statistical engine of their full-stack experimentation platform, she has also been an instructor at Insight Data Science, helping software engineers and academic coders transition to DE roles.
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