Title

Real World Vagrant - Build an Apache Spark Development Env!

With a single command, build an IDE, Scala and Spark (1.6.2 or 2.0.1) Development Environment! Run in under 3 minutes!!

4.23 (13 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
Real World Vagrant - Build an Apache Spark Development Env!
304
students
3 hours
content
Jan 2017
last update
$19.99
regular price

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

Why take this course?

🌟 Course Title: Real World Vagrant - Build an Apache Spark Development Env!

Headline: With a single command, build an IDE, Scala, and Spark (1.6.2 or 2.0.1) Development Environment in under 3 minutes! 🚀

Course Description:

Note: This course builds upon the foundation laid out in Toyin Akin's previous course "Real World Vagrant For Distributed Computing."

Are you ready to take control of your development environment? Say goodbye to the frustration of configuring Spark on your local machine. With this comprehensive online course, Real World Vagrant - Build an Apache Spark Development Env!, you'll learn how to package a complete Apache Spark development environment into your very own custom Vagrant box, totaling just 2.3GB.

Why Apache Spark? 📈 Performance: Spark runs programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk. 🚀 Advanced Execution Engine: Spark's DAG execution engine supports cyclic data flow and in-memory computing, making it incredibly efficient for large-scale data processing. 🛠️ Ease of Use: With over 80 high-level operators, Spark makes building parallel apps a breeze. Plus, you can interact with Spark from the Scala, Python, and R shells. 📚 Versatility: Spark can combine SQL, streaming, and complex analytics in the same application, offering a robust suite of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming.

What You'll Learn:

  • How to set up a Spark development environment using Vagrant and VirtualBox.
  • Best practices for configuring your Spark environment for optimal performance.
  • How to install and configure different versions of Apache Spark.
  • The ins and outs of using Scala with Spark for complex data processing tasks.
  • Techniques for building scalable, distributed applications with Apache Spark.

Who This Course Is For:

  • Developers looking to learn Spark development in a controlled environment.
  • Data scientists who want to streamline their machine learning workflow.
  • Software engineers interested in big data processing and parallel computing.

By the end of this course, you'll have:

  • A custom Vagrant box with Apache Spark pre-configured.
  • The knowledge to deploy a Spark environment in under 3 minutes.
  • A development setup that is both consistent and reproducible.

Don't let the complexity of distributed computing hold you back. Enroll in "Real World Vagrant - Build an Apache Spark Development Env!" today and take your Spark development skills to the next level! 🎉


Key Takeaways:

  • 🛠️ Streamlined Setup: Build a consistent Spark environment with a single command.
  • Speed & Efficiency: Deploy in under 3 minutes and start coding immediately.
  • 🚀 Versatility & Performance: Work with the latest versions of Apache Spark.
  • 🤝 Collaboration Ready: Share your environment across teams for seamless collaboration.

Join us on this journey to master Apache Spark development within a scalable, reliable, and ready-to-use environment! 🚀💻

Screenshots

Real World Vagrant - Build an Apache Spark Development Env! - Screenshot_01Real World Vagrant - Build an Apache Spark Development Env! - Screenshot_02Real World Vagrant - Build an Apache Spark Development Env! - Screenshot_03Real World Vagrant - Build an Apache Spark Development Env! - Screenshot_04

Reviews

Avimanyu
July 14, 2017
course is not covering independent topics, instructor put the course in linked list.Means before starting this course, visit other course like this.

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978396
udemy ID
07/10/2016
course created date
01/02/2021
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