Java Data Science Cookbook

Chapter 7. Handling Big Data

In this chapter, we will cover the following recipes:

• Training an online logistic regression model using Apache Mahout
• Applying an online logistic regression model using Apache Mahout
• Solving simple text-mining problems with Apache Spark
• Clustering using KMeans algorithm with MLib
• Creating a linear regression model with MLib
• Classifying data points with a Random Forest model using MLib

Introduction

In this chapter, you will see three key technologies used in Big Data framework, which are extremely useful for data scientists: Apache Mahout, Apache Spark, and its machine learning library named MLib.

We will start our chapter with Apache Mahout--a scalable or distributed machine learning platform for classification, regression, ...