Book Image

Modern Scala Projects

By : Ilango gurusamy
Book Image

Modern Scala Projects

By: Ilango gurusamy

Overview of this book

Scala is both a functional programming and object-oriented programming language designed to express common programming patterns in a concise, readable, and type-safe way. Complete with step-by-step instructions, Modern Scala Projects will guide you in exploring Scala capabilities and learning best practices. Along the way, you'll build applications for professional contexts while understanding the core tasks and components. You’ll begin with a project for predicting the class of a flower by implementing a simple machine learning model. Next, you'll create a cancer diagnosis classification pipeline, followed by tackling projects delving into stock price prediction, spam filtering, fraud detection, and a recommendation engine. The focus will be on application of ML techniques that classify data and make predictions, with an emphasis on automating data workflows with the Spark ML pipeline API. The book also showcases the best of Scala’s functional libraries and other constructs to help you roll out your own scalable data processing frameworks. By the end of this Scala book, you’ll have a firm foundation in Scala programming and have built some interesting real-world projects to add to your portfolio.
Table of Contents (14 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Getting started


In order to get started, download the dataset from the ModernScalaProjects_Code folder and drop it into the root folder of your project. 

Setting up prerequisite software

You may use your existing software setup from previous chapters. Apache Log4j 2 Scala API is the notable exception. This is a Scala wrapper over Log4j 2, which is an upgraded Logger implementation of Log4j version 1.x (the version provided by Spark). 

Simply override the existing Log4j from Spark (version 1.6) with Log4j 2 Scala by adding in appropriate entries in the build.sbt file.

The following table lists two choices of prerequisite software:

Implementation infrastructure

Download the dataset from the ModernScalaProjects_Code folder and drop it into the root folder of your project.