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.

SparkTutorials.net 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 MLLib - Predict Store Sales with ML Pipelines

In this tutorial we're going to be doing a full-stack machine learning project. We're going all the way from data manipulation to feature creation and finally serving predictions.

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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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Spark MLLib - Predict Store Sales with ML Pipelines

In this tutorial we're going to be doing a full-stack machine learning project. We're going all the way from data manipulation to feature creation and finally serving predictions.

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