Apache Spark with Scala - Hands On with Big Data! (Udemy.com)

Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets, on your desktop or on Hadoop with Scala!

( 311 Reviews )

Created by: Sundog Education by Frank Kane

Produced in 2021

What 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

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 88 / 100

Course 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 includingAmazon,EBay,NASA JPL, andYahooall use Spark to quickly extract meaning from massive data sets across a fault-tolerantHadoopcluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think, and you'll belearning from an ex-engineer and senior manager from Amazon andIMDb.
Spark works best when using the Scala programming language, and this course includes a crash-course inScala 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 withApacheSpark and Python -Hands On".
Learn and master the art of framing data analysis problems as Spark problems through over 20hands-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 languageDevelop and run Spark jobs quickly using Scala, IntelliJ, and SBTTranslate complex analysis problems into iterative or multi-stage Spark scriptsScale up to larger data sets using Amazon'sElastic MapReduceserviceUnderstand howHadoop YARNdistributes Spark across computing clustersPractice using other Spark technologies, like Spark SQL, DataFrames, DataSets,Spark Streaming, Machine Learning, and GraphXBy 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 videocontent is included, withover 20real examplesof 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! " - JoeyFahertyWho this course is for:
Software engineers who want to expand their skills into the world of big data processing on a clusterIf you have no previous programming or scripting experience, you'll want to take an introductory programming course first.

Time: 9h

Instructor Details

Sundog Education by Frank Kane

4.4 Rating
311 Reviews

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.
Due to our volume of students we are unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.

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Reviews

4.4

311 total reviews

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Write a Review

By Nikitha priya on 11/7/2020

Clear and precise way of explaining things. So far, so good!

By Yale Milton on 11/7/2020

I like how you prepared and went through the installation of the dependencies

By Bhikshalu Moka on 11/7/2020

His trainings are always good. I have expected a bit slower and detailed explaination of each function/utility and then using it in the code. Felt fast as a beginner

By Austin Chakitdee on 10/27/2020

Well taught. A good introduction to Spark Scala.

By Prem Raj on 10/24/2020

Amazing tutor great experience

By James Hewitson on 10/22/2020

Had some issues with set-up i had to create additional folders to get hello world working but apart from that a good start to the course

By Raymond Ong on 10/18/2020

Only the first chapters parts are good. The latter topics are not explained in detail. This course simply gave me enough fundamentals to be able to understand more advanced Spark documents/courses.
Maybe the author can watch Stephen Grider's courses to see how detailed he is in explaining things. Stephen Grider takes the time to create diagrams to make things easier to understand.

By Oron on 10/17/2020

Gives great insights to the world of spark as a start!

By Arithmos on 10/8/2020

deeply explain from the basic level

By Kasthuri Rangan S on 10/4/2020

Very helpful

By Douwe Vonk on 10/2/2020

The teacher is very inspiring, he always gives some extra background on the topics. Very good teacher.

By Ardavan Moinzadeh on 10/2/2020

coming with little background with Spark -- these series of videos gave a big boost on my skills -- so many examples and deep diving in each scenario really made it easier to learn.