Real World Vagrant Build an Apache Spark Development Env!

Real World Vagrant – Build an Apache Spark Development Env!, available at $19.99, has an average rating of 4.15, with 15 lectures, based on 13 reviews, and has 303 subscribers.

You will learn about Simply run a single command on your desktop, go for a coffee, and come back with a running distributed environment for cluster deployment Ability to automate the installation of software across multiple Virtual Machines This course is ideal for individuals who are Software engineers who want to expand their skills into the world of distributed computing or Developers who want to write/test their code against Scala / Spark It is particularly useful for Software engineers who want to expand their skills into the world of distributed computing or Developers who want to write/test their code against Scala / Spark.

Enroll now: Real World Vagrant – Build an Apache Spark Development Env!

Summary

Title: Real World Vagrant – Build an Apache Spark Development Env!

Price: $19.99

Average Rating: 4.15

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: ￡89.99

Quality Status: approved

Status: Live

What You Will Learn

Simply run a single command on your desktop, go for a coffee, and come back with a running distributed environment for cluster deployment

Ability to automate the installation of software across multiple Virtual Machines

Who Should Attend

Software engineers who want to expand their skills into the world of distributed computing

Developers who want to write/test their code against Scala / Spark

Target Audiences

Software engineers who want to expand their skills into the world of distributed computing

Developers who want to write/test their code against Scala / Spark

Note : This course is built on top of the “Real World Vagrant For Distributed Computing – Toyin Akin” course

This course enables you to package a complete Spark Development environment into your own custom 2.3GB vagrant box.

Once built you no longer need to manipulate your Windows machine in order to get a fully fledged Spark environment to work. With the final solution, you can boot up a complete Apache Spark environment in under 3 minutes!!

Install any version of Spark you prefer. We have codified for 1.6.2 or 2.0.1. but it’s pretty easy to extend this for a new version.

Why Apache Spark

Apache Sparkrun programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.
Apache Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing.
Apache Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python and R shells.
Apache Spark can combine SQL, streaming, and complex analytics.

Apache Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application.

Course Curriculum

Chapter 1: Justification

Lecture 1: Justification – My own experience

Lecture 2: Suggested Spark Udemy curriculum course?s to follow ?

Chapter 2: First Steps

Lecture 1: Base Vagrant file

Lecture 2: Quick Overview of your Vagrant Environment

Lecture 3: Boot up a Vanilla Centos Desktop on your own Desktop or Laptop

Lecture 4: Tune the Virtual Machine

Chapter 3: Automation Steps to Build Your Spark Development Environment

Lecture 1: Automate the Installation of Maven. The Java Build Tool

Lecture 2: Automate the installation of Scala. Its like the Java that should have been!

Lecture 3: Automate the Installation of ScalaIDE. Eclipse for Scala!

Lecture 4: Automate the Installation of sbt. The Scala Build Tool

Lecture 5: Automate the Installation of Spark. You get to choose. 1.6.2 or 2.0.1

Lecture 6: Automate the Installation of a Spark 1.6.2 Example.

Chapter 4: Build our Virtual Machine Image

Lecture 1: Build the Final Development Environment

Chapter 5: Conclusion

Lecture 1: Boot up the Spark Environment in under 2.5 minutes!!

Lecture 2: Conclusion

Instructors

Toyin Akin
Big Data Engineer, Capital Markets FinTech Developer

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 2 votes

5 stars: 8 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!