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.

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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Building Spark for your Cluster to Support Hive SQL and YARN

This article will walk you through how to build Apache Spark to support the HIVE SQL execution engine as well as YARN. After that it should be ready to get up and running on your hadoop cluster.

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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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