Struggling to conquer Apache Spark?

Learning is hard enough as it is but when you bring in distributed computing frameworks in sophisticated programming languages - things don't get any easier. While self-study can certainly help, without a good guide, things are always more difficult than they should be. That's why I created Spark Tutorials, to make it easier to learn and use Apache Spark. is here to provide simple, easy to follow tutorials to help you get up and running quickly. You'll learn the foundational abstractions in Apache Spark from RDDs to DataFrames and MLLib. Start off with some of the articles below.

Spark Will Not Start with Spark Error-java.lang.OutOfMemoryError PermGen space

This article will walk you through how to resolve the java.lang.OutOfMemoryError: PermGen space exception that can occur when you're trying to start Spark.

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Spark Clusters on AWS EC2 - Reading and Writing S3 Data - Predicting Flight Delays with Spark Part 1

In this tutorial we're gong to set up a complete predictive modeling pipeline in Spark using DataFrames, Pipelines and MLlib. The first part of this tutorial will explain some of the basic concepts that we're going to need to build this model, walk you through how to download the data we'll use, and lastly create our Spark Cluster on Amazon AWS and read and write from AWS S3!

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Building Apache Spark on your Local Machine

This article will walk you through how to build Apache Spark for usage on your local machine. After that you'll be able to create Spark Clusters or try out Spark on your local computer.

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