Scala for Spark – The Most Important Parts
Scala for Spark – The Most Important Parts, available at $19.99, has an average rating of 3.65, with 14 lectures, 1 quizzes, based on 19 reviews, and has 67 subscribers.
You will learn about If you are new to Scala, this course will teach you to become productive and confident in Scala in order to use Apache Spark This course is ideal for individuals who are Beginner Scala Developers or Students who wish to use Apache Spark with Scala It is particularly useful for Beginner Scala Developers or Students who wish to use Apache Spark with Scala.
Enroll now: Scala for Spark – The Most Important Parts
Summary
Title: Scala for Spark – The Most Important Parts
Price: $19.99
Average Rating: 3.65
Number of Lectures: 14
Number of Quizzes: 1
Number of Published Lectures: 14
Number of Published Quizzes: 1
Number of Curriculum Items: 15
Number of Published Curriculum Objects: 15
Original Price: $29.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Beginner Scala Developers
- Students who wish to use Apache Spark with Scala
Target Audiences
- Beginner Scala Developers
- Students who wish to use Apache Spark with Scala
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:
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Introduction, Environment Setup and Basic Concepts of the Scala
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Jumpstart Scala SBT for Apache Spark project
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Getting Started with Scala in IntelliJ
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Scala key language elements
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Scala classes, inheritance, and traits
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Scala for Spark
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Scala Collections
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Scala With IntelliJ
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SBT with Scala
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Sample Spark Examples
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Conclusion and Free Resources
Save time and learn from an experienced Scala and Spark data engineer.
Course Curriculum
Chapter 1: Course Overview and Objectives
Lecture 1: Introduction
Chapter 2: Setting Up Your Development Environment
Lecture 1: Part 1 – Jumpstart Sample Scala Spark SBT Project
Lecture 2: Part 2 – Java Development Kit and IntelliJ
Lecture 3: Part 3 – IntelliJ Configuration and Confirmation
Chapter 3: Scala Basics
Lecture 1: Part 1 – Scala Basics
Lecture 2: Part 2 – Scala Basics
Chapter 4: Advanced Scala for Spark
Lecture 1: Part 1 – Advanced Scala for Spark – Data Structures and Pattern Matching
Lecture 2: Part 2 – Advanced Scala for Spark – Option, Some and None
Lecture 3: Part 3 – Advanced Scala for Spark – Functional Combinators
Chapter 5: Scala with IntelliJ – Tricks and Tips
Lecture 1: IntelliJ – Debugging and Shortcuts
Chapter 6: SBT – Building, Deploying and Managing Scala for Spark Projects
Lecture 1: SBT – Why, How, Key Concepts and Examples
Chapter 7: Apache Spark with Scala
Lecture 1: Scala Spark Standalone & Packaging and Deploying to a Spark Cluster Examples
Lecture 2: Scala Spark Examples Part 2
Chapter 8: Scala for Spark Course Conclusion
Lecture 1: Scala for Spark Course Conclusion
Instructors
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Todd McGrath
Data Engineer, Software Developer, Mentor
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 6 votes
- 4 stars: 3 votes
- 5 stars: 7 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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