Scala For Spark - The Most Important Parts

Learn the most important parts of Scala for Apache Spark development

What you'll learn

If you are new to Scala, this course will teach you to become productive and confident in Scala in order to use Apache Spark

Requirements

Experienced Programming in a language other than Scala

Desire to Leverage Apache Spark from Scala

Description

Understanding how to leverage Apache Spark from Scala is becoming both essential for data engineers, architects, and data scientists.  But, what if you are new to Scala?If you are new to Scala, this course will teach you to become productive and confident in Scala.  The course focus is Scala relevant for Apache Spark.  It will demonstrate through a variety of hands-on examples as well as prepare and configure your own development environment in the free IntelliJ Community Edition.In the book “High Performance Spark” from O’Reilly and Associates, the authors state “serious performant Spark development is most easily achieved in Scala” and more reasons include “To Be a Spark Expert You Have to Learn a Little Scala Anyway”. Other noteworthy quotes from the book include “The Spark Scala API is Easier to Use than the Java API” and “Scala is More Performant Than Python” In this “Scala for Spark” course, you will be taught the core Scala principles needed to build your confidence and become both productive and valuable.Scala for Spark trainingThis course will guide you through a wide range of hands-on Scala source code and how it relates to Apache Spark concepts.  This is the only course designed specifically what you need to know in Scala in order to be productive with Apache Spark.This course will teach you how to configure SBT and SBT plugins to make packaging and deploying Scala applications to Spark easier and more efficient.The Scala for Spark course also includes hands-on examples of configuring the free Community Edition of IntelliJ which is one of the most popular IDEs for Scala development.  All of the source code is available for download, so you can run and modify for yourself. This can save you a tremendous amount of time over reading a book or finding tutorials on the Internet.The course is organized into the following sections:Introduction, Environment Setup and Basic Concepts of the ScalaJumpstart Scala SBT for Apache Spark projectGetting Started with Scala in IntelliJScala key language elementsScala classes, inheritance, and traitsScala for SparkScala CollectionsScala With IntelliJSBT with ScalaSample Spark ExamplesConclusion and Free ResourcesSave time and learn from an experienced Scala and Spark data engineer.

Overview

Section 1: Course Overview and Objectives

Lecture 1 Introduction

Section 2: Setting Up Your Development Environment

Lecture 2 Part 1 - Jumpstart Sample Scala Spark SBT Project

Lecture 3 Part 2 - Java Development Kit and IntelliJ

Lecture 4 Part 3 - IntelliJ Configuration and Confirmation

Section 3: Scala Basics

Lecture 5 Part 1 - Scala Basics

Lecture 6 Part 2 - Scala Basics

Section 4: Advanced Scala for Spark

Lecture 7 Part 1 - Advanced Scala for Spark - Data Structures and Pattern Matching

Lecture 8 Part 2 - Advanced Scala for Spark - Option, Some and None

Lecture 9 Part 3 - Advanced Scala for Spark - Functional Combinators

Section 5: Scala with IntelliJ - Tricks and Tips

Lecture 10 IntelliJ - Debugging and Shortcuts

Section 6: SBT - Building, Deploying and Managing Scala for Spark Projects

Lecture 11 SBT - Why, How, Key Concepts and Examples

Section 7: Apache Spark with Scala

Lecture 12 Scala Spark Standalone & Packaging and Deploying to a Spark Cluster Examples

Lecture 13 Scala Spark Examples Part 2

Section 8: Scala for Spark Course Conclusion

Lecture 14 Scala for Spark Course Conclusion

Beginner Scala Developers,Students who wish to use Apache Spark with Scala