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Development Data Science Apache Spark

Apache Spark with Scala By Example

Advance your Spark skills and become more valuable, confident, and productive
Rating: 3.9 out of 53.9 (140 ratings)
1,404 students
Created by Todd McGrath
Last updated 5/2016
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Gain confidence and hands-on knowledge exploring, running and deploying Apache Spark
  • Access to numerous and wide variety of Spark with Scala, Spark SQL, Spark Streaming and Spark MLLib source code examples
  • Create hands-on Spark environments for experimenting with course examples
  • Participate in course discussion boards with instructor and other students
  • Know when and how Spark with Scala, Spark SQL, Spark Streaming and Spark MLLib may be an appropriate solution

Course content

9 sections • 45 lectures • 2h 48m total length

  • Preview02:04
  • How to Succeed in this Course
    01:46
  • Course Source Code
    00:03

  • Preview06:05
  • Preview01:08
  • Let's run some Apache Spark code!
    06:21
  • [Milestone] Quiz - Spark Core Fundamentals
    3 questions

  • Preview00:52
  • Download and Install Spark
    03:22
  • [Milestone] Prepare Sample Data Source and Confirm Console
    03:03
  • Setup Resources
    00:12

  • Preview02:13
  • Transformations Part 1
    07:48
  • Transformations Part 2
    01:49
  • Transformations Part 3
    06:30
  • [Milestone] Transformation Quiz
    3 questions
  • Actions
    06:13
  • [Milestone] Actions Quiz
    2 questions
  • Transformations and Actions Source Code and Programming Guides
    00:07

  • Preview03:37
  • Run Standalone Cluster
    04:28
  • [Milestone] Deploy a Scala Program to a Cluster
    06:34
  • Create an Amazon EC2 Based Cluster Part 1
    05:54
  • Create an Amazon EC2 Based Cluster Part 2
    02:54
  • [Milestone] Cluster Section Recap
    02:52
  • Cluster Section Quiz
    4 questions
  • Cluster Section Resources
    00:10

  • Preview03:20
  • Spark SQL with CSV source
    06:05
  • Spark SQL with JSON source
    08:56
  • Spark SQL with mySQL (JDBC) source
    05:38
  • [Milestone] Spark SQL Deploying to a Spark Cluster
    07:43
  • Spark SQL Section Resources
    1 page

  • Preview03:08
  • Spark Streaming Overview
    00:52
  • Spark Streaming Example Part 1
    02:53
  • Spark Streaming Example Part 2
    07:07
  • Spark Streaming Application - Streaming from Slack
    05:44
  • Spark Streaming Custom Example Code Review
    10:11
  • [Advanced] Spark Streaming Deploy to Cluster Introduction
    01:24
  • [Milestone] Advanced Spark Deploy Troubleshooting and Tactics
    02:54
  • Spark Streaming Resources
    00:11

  • Preview05:05
  • Machine Learning Demonstration - Running our Custom Machine Learning Code
    03:30
  • [Milestone] Source Code Review of Custom Spark MLlib Example Application
    11:03
  • Spark MLlib Overview
    03:09
  • Spark Machine Learning (MLlib) Resources
    00:11

  • Conclusion v2
    00:58
  • Bonus Lecture: Free Resources, Coupons and More
    00:54

Requirements

  • Prior programming or scripting experience in at least one programming language is preferred, but not required.
  • If you are training for a new career or looking to advance your career
  • You are curious how and when the Apache Spark ecosystem might be beneficial for your operations or product development efforts

Description

Understanding how to manipulate, deploy and leverage Apache Spark is quickly becoming essential for data engineers, architects, and data scientists.  So, it's time for you to stay ahead of the crowd by learning Spark with Scala from an industry veteran and nice guy. 

This course is designed to give you the core principles needed to understand Apache Spark and build your confidence through hands-on experiences. 

In this course, you’ll be guided through a wide range of core Apache Spark concepts using Scala source code examples; all of which are designed to give you fundamental, working knowledge.  Each section carefully builds upon previous sections, so your learning is reinforced along every step of the way.  

All of the source code is conveniently available for download, so you can run and modify for yourself.  

Here are just a few of concepts this course will teach you using more than 50 hands-on examples: 

  • Learn the fundamentals and run examples of Spark's Resilient Distributed Datasets, Actions and Transformations through Scala
  • Run Spark on your local cluster and also Amazon EC2
  • Troubleshooting tricks when deploying Scala applications to Spark clusters
  • Explore Spark SQL with CSV, JSON and mySQL database (JDBC) data sources
  • Discover Spark Streaming through numerous examples and build a custom application which streams from Slack
  • Hands-on machine learning experiments with Spark MLlib
  • Reinforce your understanding through multiple quizzes and lecture recap


Check out the free preview videos below!

As an added bonus, this course will teach you about Scala and the Scala ecosystem such as SBT and SBT plugins to make packaging and deploying to Spark easier and more efficient.  

As another added bonus, on top of all the extensive course content, the course offers a private message board so you can ask the instructor questions at anytime during your Spark learning journey.

This course will make you more knowledgeable about Apache Spark.  It offers you the chance to build your confidence, productivity and value in your Spark adventures. 

Who this course is for:

  • People looking to expand their working knowledge of Apache Spark and Scala
  • A desire to learn more about the Spark ecosystem such as Spark SQL, Spark Streaming and Spark MLlib
  • Software developers wanting to expand their skills and abilities for future career growth. Spark with Scala is an in-demand skill set.
  • Anyone who suspects an on-demand Spark course with access to both source code and questions/ answers with the instructor is probably more efficient than buying a Spark book or reading blog posts

Instructor

Todd McGrath
Data Engineer, Software Developer, Mentor
Todd McGrath
  • 3.7 Instructor Rating
  • 307 Reviews
  • 2,273 Students
  • 3 Courses

Todd has an extensive and proven track record in software development leadership and building solutions for the world's largest brands and Silicon Valley startups.

His courses are taught using the same skills used in his consulting and mentoring projects.  Todd believes the only way to gain confidence and become productive is to be hands-on through examples.  Each new subject should build upon previous examples or presentation, so each step is also a way to reemphasis a prior topic.

To learn more about Todd, visit his LinkedIn profile. 

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