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 training
This 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 Scala
Jumpstart Scala SBT for Apache Spark project
Getting Started with Scala in IntelliJ
Scala key language elements
Scala classes, inheritance, and traits
Scala for Spark
Scala Collections
Scala With IntelliJ
SBT with Scala
Sample Spark Examples
Conclusion and Free Resources
Save time and learn from an experienced Scala and Spark data engineer.
