Taming Big Data with Apache Spark 3 and Python – Hands On!

Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop! Includes 7 hours of on-demand video and a certificate of completion.

Also available at Udemy

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Lifetime access to all videos and materials for this course, with a one-time payment.

Course Information



New! Updated for Spark 3, additional hands-on exercises, and a stronger focus on using DataFrames in place of RDD’s.

“Big data” analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think.

Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course. You’ll be learning from an ex-engineer and senior manager from Amazon and IMDb.

  • Learn the concepts of Spark’s DataFrames and Resilient Distributed Datastores
  • Develop and run Spark jobs quickly using Python
  • Translate complex analysis problems into iterative or multi-stage Spark scripts
  • Scale up to larger data sets using Amazon’s Elastic MapReduce service
  • Understand how Hadoop YARN distributes Spark across computing clusters
  • Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX

By the end of this course, you’ll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes. 

This course uses the familiar Python programming language; if you’d rather use Scala to get the best performance out of Spark, see my “Apache Spark with Scala – Hands On with Big Data” course instead.

We’ll have some fun along the way. You’ll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you’ve got the basics under your belt, we’ll move to some more complex and interesting tasks. We’ll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We’ll analyze a social graph of superheroes, and learn who the most “popular” superhero is – and develop a system to find “degrees of separation” between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? You’ll find the answer.

This course is very hands-on; you’ll spend most of your time following along with the instructor as we write, analyze, and run real code together – both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. 7 hours of video content is included, with over 20 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.

Wrangling big data with Apache Spark is an important skill in today’s technical world. Enroll now!

  • ” I studied “Taming Big Data with Apache Spark and Python” with Frank Kane, and helped me build a great platform for Big Data as a Service for my company. I recommend the course!  ” – Cleuton Sampaio De Melo Jr.

Course Instructor

Frank Kane Frank Kane Author

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

Buy This Course


Lifetime access to all videos and materials for this course, with a one-time payment.

Getting Started with Spark

Spark Basics and the RDD Interface

SparkSQL, DataFrames, and DataSets

Advanced Examples of Spark Programs

Running Spark on a Cluster

Machine Learning with Spark ML

Spark Streaming, Structured Streaming, and GraphX

You Made It! Where to Go from Here.

11 thoughts on “Taming Big Data with Apache Spark 3 and Python – Hands On!”

  1. ikoreal2005 says:

    I bought this course on Udemy. Unfortunately I can’t seem to find the link for downloading the course materials. This is impairing my learning experience as I need access to critical code materials. Please can you send me the link. Cheers!

    1. Frank Kane says:

      Generally for all of our courses, there is a setup lecture early in the course that walks you through where to download any materials from. You just have to watch it.

    2. Frank Kane says:

      Also, any questions about our Udemy courses should be posted in Udemy’s Q&A feature for the course.

  2. ikoreal2005 says:

    My bad really. I have now figured out how to get the course materials. What a brilliant course indeed!

  3. fcooliveiracursos says:

    Boa Noite
    Este curso possui legenda em portugues?

    1. Frank Kane says:

      I think you are asking if Portuguese closed captions are available for our courses; I’m afraid they are not.

      1. fcooliveiracursos says:

        Isto mesmo , tem legenda em português ?

  4. fcooliveiracursos says:

    This course has subtitles in Portuguese?

  5. ahmedshalabyy120 says:

    what’s the difference between the course here and on udemy ?

    1. Frank Kane says:

      It is the same course. You’re just buying direct from the instructor here.

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