Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Udacity

Spark

via Udacity

Overview

Master how to work with big data and build machine learning models at scale using Spark!

Syllabus

  • 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!
  • The Power of Spark
    • 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.
  • Data Wrangling with Spark
    • In this lesson, we'll dive into how to use Spark for cleaning and aggregating data.
  • Setting up Spark Clusters with AWS
    • In this lesson, you will learn to run Spark on a distributed cluster in AWS UI and AWS CLI.
  • Debugging and Optimization
    • In this lesson, you will learn best practices for debugging and optimizing your Spark applications.
  • Machine Learning with Spark
    • In this lesson, we'll explore Spark's ML capabilities and build ML models and pipelines.

Taught by

David Drummond and Judit Lantos

Reviews

4.6 rating at Udacity based on 49 ratings

Start your review of Spark

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.