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.

Getting Started with Apache Spark RDDs

This introductory tutorial will walk you through the basic RDD abstraction in Spark. It has code samples in both Scala as well as Python Spark (PySpark). We'll answer the question, what is an RDD?

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A Simple Scala Spark Project Template and Guide

Thus far I haven't found a good project template for Apache Spark and it's been a repeated process to get it right. In this tutorial, I walk through a simple project template that I've created as an effort to help others get started with Apache Spark in Scala.

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The Simplest Explanation of and Approaches to Optimizing Spark Shuffles

This post will dive into some of the details of the Spark Shuffle and what it means for you while using Apache Spark to perform your data analysis in a cluster setting.

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