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Apache Spark with Scala – Hands On with Big Data!

Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets, on your desktop or on Hadoop with Scala!
4.6
4.6/5
(13,956 reviews)
73,807 students
Created by

9.8

CourseMarks Score®

9.9

Freshness

9.3

Feedback

9.5

Content

Platform: Udemy
Price: $16.99
Video: 9h 4m
Language: English
Next start: On Demand

Top Apache Spark courses:

Detailed Analysis

CourseMarks Score®

9.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.9 / 10
This course was last updated on 5/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.3 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.5 / 10
Video Score: 9.0 / 10
The course includes 9h 4m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 37 minutes of 101 Apache Spark courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

3 articles.
0 resource.
0 exercise.
0 test.

Table of contents

Description

New! Completely updated and re-recorded for Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.
“Big data” analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think, and you’ll be learning from an ex-engineer and senior manager from Amazon and IMDb.
Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: “Taming Big Data with Apache Spark and Python – Hands On”.
Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course.
•Learn the concepts of Spark’s Resilient Distributed Datasets, DataFrames, and Datasets.
•Get a crash course in the Scala programming language
•Develop and run Spark jobs quickly using Scala, IntelliJ, and SBT
•Translate complex analysis problems into iterative or multi-stage Spark scripts
•Scale up to larger data sets using Amazon’s Elastic MapReduce service
•Understand how Hadoop YARN distributes Spark across computing clusters
•Practice using other Spark technologies, like Spark SQL, DataFrames, DataSets, Spark Streaming, Machine Learning, and GraphX
By the end of this course, you’ll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes. 
We’ll have some fun along the way. You’ll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you’ve got the basics under your belt, we’ll move to some more complex and interesting tasks. We’ll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We’ll analyze a social graph of superheroes, and learn who the most “popular” superhero is – and develop a system to find “degrees of separation” between superheroes. Are all Marvel superheroes within a few degrees of being connected to SpiderMan? You’ll find the answer.
This course is very hands-on; you’ll spend most of your time following along with the instructor as we write, analyze, and run real code together – both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. over 8 hours of video content is included, with over 20 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.
Enroll now, and enjoy the course!

“I studied Spark for the first time using Frank’s course “Apache Spark 2 with Scala – Hands On with Big Data!”. It was a great starting point for me,  gaining knowledge in Scala and most importantly practical examples of Spark applications. It gave me an understanding of all the relevant Spark core concepts,  RDDs, Dataframes & Datasets, Spark Streaming, AWS EMR. Within a few months of completion, I used the knowledge gained from the course to propose in my current company to  work primarily on Spark applications. Since then I have continued to work with Spark. I would highly recommend any of Franks courses as he simplifies concepts well and his teaching manner is easy to follow and continue with!  ” – Joey Faherty

You will learn

✓ Frame big data analysis problems as Apache Spark scripts
✓ Develop distributed code using the Scala programming language
✓ Optimize Spark jobs through partitioning, caching, and other techniques
✓ Build, deploy, and run Spark scripts on Hadoop clusters
✓ Process continual streams of data with Spark Streaming
✓ Transform structured data using SparkSQL, DataSets, and DataFrames
✓ Traverse and analyze graph structures using GraphX
✓ Analyze massive data set with Machine Learning on Spark

Requirements

• Some prior programming or scripting experience is required. A crash course in Scala is included, but you need to know the fundamentals of programming in order to pick it up.
• You will need a desktop PC and an Internet connection. The course is created with Windows in mind, but users comfortable with Mac
• OS or Linux can use the same tools.
• The software needed for this course is freely available, and I’ll walk you through downloading and installing it.

This course is for

• Software engineers who want to expand their skills into the world of big data processing on a cluster
• If you have no previous programming or scripting experience, you’ll want to take an introductory programming course first.

How much does the Apache Spark with Scala - Hands On with Big Data! course cost? Is it worth it?

The course costs $16.99. And currently there is a 82% discount on the original price of the course, which was $94.99. So you save $78 if you enroll the course now.
The average price is $14.2 of 101 Apache Spark courses. So this course is 1% cheaper than the average Apache Spark course on Udemy.

Does the Apache Spark with Scala - Hands On with Big Data! course have a money back guarantee or refund policy?

YES, Apache Spark with Scala – Hands On with Big Data! has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Apache Spark with Scala - Hands On with Big Data! course, but there is a $78 discount from the original price ($94.99). So the current price is just $16.99.

Who is the instructor? Is Sundog Education by Frank Kane a SCAM or a TRUSTED instructor?

Sundog Education by Frank Kane has created 23 courses that got 108,952 reviews which are generally positive. Sundog Education by Frank Kane has taught 512,757 students and received a 4.6 average review out of 108,952 reviews. Depending on the information available, Sundog Education by Frank Kane is a TRUSTED instructor.
Founder, Sundog Education. Machine Learning Pro
Sundog Education’s mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford. 

Sundog Education is led by Frank Kane and owned by Frank’s company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

9.8

CourseMarks Score®

9.9

Freshness

9.3

Feedback

9.5

Content

Platform: Udemy
Price: $16.99
Video: 9h 4m
Language: English
Next start: On Demand

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