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Apache Spark Essentials with Scala

Become an Apache Spark developer with our essentials course. Master the fundamentals of Apache Spark with Scala and big data through clear lessons, practical exercises, and a smooth learning curve. Ideal for those with some programming experience, this course will quickly equip you with essential skills to effectively tackle real-world big data challenges.

Duration
10h of 4K content
Lessons
31 lessons
Daniel Ciocîrlan

By Daniel Ciocîrlan

Apache Spark Essentials with Scala

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Skills You'll Learn

  • Work with DataFrames for Spark jobs of any complexity
  • Integrate any data source with Spark
  • Perform DataFrame transformations, aggregations, joins, and unions
  • Process absent values and perform data cleanup
  • Deconstruct complex types like structures and arrays
  • Manage type safety with DataFrames and Datasets
  • Use RDDs for arbitrary Scala transformations
  • Understand how Spark runs on a cluster
  • Deploy Spark applications on Amazon
  • Pick the right API level for any Spark job

Goal

Become a professional.

You probably know by now: Spark is the most popular computing engine for big data, the most maintained, and with a proven track record of performance. It’s 100 times faster than the old MapReduce paradigm, and can easily be extended with machine learning and streaming capabilities, and much more.

If you’re dealing with large amounts of data, learning Spark is a must.

The demand for Spark has skyrocketed, and companies are struggling to fill their Data Scientist positions. Scala and Spark are two of the best paying technologies in the field. Forget the reported 120k salaries on PayScale and StackOverflow. I regularly see engineers and data scientists working for 150k+ per year, or charging thousands a day for consulting.

However you take it, learning Spark will be a game changer for your career, if you choose. And this course will help you get those skills. Join this Spark Big Data online course and learn by writing code.

Work with real big data.

At the end of the course, we will dive into one of the biggest datasets publicly available and we’ll put everything that we’ve learned to the test. Unlike every other material on the web (free or paid), this Spark course is the only place where you can really practice big data.

Everyone else runs a Spark job on one million records in a 20MB dataset. Why would you need Spark for that?

We do 1.4 BILLION car trips in a 400GB dataset. You don’t fit that into most computers. That’s the definition of big data.

This will be your true exercise to practice Spark with Scala. At the end of the project, we gather data insights worth millions of dollars for the company you’re looking to help, and tens of thousands for you as a consultant and data scientist.

Take the proven path

As with the other Rock the JVM courses, this Spark and Big Data Essentials course will take you through a battle-tested path to Spark proficiency as a data scientist and engineer.

As always, I’ve:

  • Deconstructed the complexity of Spark in bite-sized chunks that you can practice in isolation
  • Selected the essential concepts and exercises with the appropriate complexity
  • Sequenced the topics in increasing order of difficulty so that they “click” along the way
  • Applied everything in live code

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What's Included

8 sections
31 lessons
9h 50m total length

Meet Rock the JVM

Daniel Ciocîrlan

Daniel Ciocîrlan

Founder, Rock the JVM

I'm a software engineer and the founder of Rock the JVM.

I started Rock the JVM out of love for Scala and the technologies it powers. They are amazing tools, and I want to share as much of my experience with them as I can.

I've taught Java, Scala, Kotlin and related technologies such as Cats, ZIO and Spark to 100,000+ students at various levels. I've held live training sessions for companies including Adobe and Apple, taught university students who now work at Google and Facebook, run Hour of Code for 7-year-olds, and taught more than 50,000+ kids to code.

I have a Master's Degree in Computer Science and I wrote my Bachelor and Master thesis on Quantum Computation. Before learning programming, I won medals at international Physics competitions.

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The Apache Spark Bundle with Scala

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