Spark 3.0 & Big Data Essentials with Scala | Rock the JVM (Udemy.com)

Now with Spark 3.0: Learn practical Big Data with Spark DataFrames, Datasets, RDDs and Spark SQL, hands on, in Scala

( 123 Reviews )

Created by: Daniel Ciocrlan

Produced in 2021

What you will learn

apply Spark big data principles
practice Spark DataFrames operations with 100+ examples and exercises
practice type-safe data processing with Spark Datasets
work with low-level Spark APIs with RDDs
use Spark SQL for data processing
migrate data from various data sources, including databases

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 94 / 100

Course Description

UPDATEDFORSPARK3.
0In this course, wewill learn how to write big data applications with Apache Spark 3 and Scala.
You'll write 2000+lines of Spark codeyourself, with guidance,and you will become a rockstar.
This course is for Scala programmers who are getting started with Apache Spark and big data. The course is not for advanced Spark engineers.
WhySpark in Scala:
it's blazing fast for big dataits demand has explodedit's a highly marketable skillit's well maintained, with dozens of high-quality extensionsit's a foundation for a data scientistI like to get to the point and get things done.
This course deconstructsall conceptsinto the critical pieces you needselectsthe most important ideasand separates them into what's simple butcritical and what's powerfulsequencesideas in a way that "clicks" and makes sense throughout the process of learningapplieseverythingin live codeThe end benefits are still much greater:
a completely new mental model around data processingsignificantly more marketable resumemore enjoyable work- Spark is fun!
This course is forestablished programmerswith experience with Scalaandwith functional programming at the level of the Rock the JVM Scala beginners course. I already assume a solid understanding of general programming fundamentals.
This course is NOT for you ifyou've never written Scala code beforeyou don't have some essential parallel programming background (e.
g. what's a process/a thread)The course is comprehensive, butyou'll always see me get straight to the point. So make sure you have a good level of focus and commitment to become a badass programmer.
Ibelieve both theoryandpractice are important. That's why you'll get lectures with code examples, real life code demos and assignments, plus additional resources, instructions, exercises and solutions. At the end of the course, you'll have written thousands of lines of Spark.
I've seen that my students are most successful - and my best students work at Google-class companies -when they're guided, but not being told what to do. I have exercises waiting for you, where I offer my (opinionated)guidance but otherwisefreedom to experiment and improve upon your code.
Definitely not least, my students are most successful when they have fun along the way!
So join me in this course and let's rock the JVM!
Who this course is for:
Future data scientistsProgrammers getting into the field of Big DataEngineers wanting to learn Spark in Scala, its native language

Time: 7.5h

Instructor Details

Daniel Ciocrlan

4.7 Rating
123 Reviews

I'm a software engineer with a passion forteaching. Big fan of Scala and the JVM.
I have a Master's Degree in Computer Science and Iwrote my Bachelorand Mastertheses on Quantum Computation. Before starting to learn programming, I won medals at international Physics competitions.
For 7+ years, I've taught a variety of Computer Science topics to 30000+ of students at various levels. I've heldHourof Code for 7 year-olds, I've taught university students who now work at Google and Facebook, I've held live trainings for software engineering teams at Adobe and Apple, and I'm now soexcited to share what I know with a wider community online.

Reviews

4.7

123 total reviews

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Write a Review

By Arti on 11/21/2020

Awesome

By Fabiano Ricci on 11/14/2020

It's the first I give a rating before finish the whole corse. This time I am sure at 100% of my rate even before end the course. The voice, the lesson and topics are very clear.

By Marc Hirsch on 11/14/2020

A great introduction into the spark. I appreciate exercises and love Daniel enthusiasm :) Some presentations or pdf with section summary would be great, but at least it forces one to make a notes ;)

By Andrew Chen on 10/27/2020

great spark course

By Madhu Chimmani on 10/16/2020

Could have gone in depth on the architecture and some other concepts like streaming etc

By Manoj Ramakrishnapillai on 10/9/2020

Good Course!

By Swapnil Rana on 10/8/2020

Its great course for beginners, I wish Daniel had more sections though

By Mahesh V on 10/5/2020

All the Daniel's course has been good and this is no exception

By Jeova Vieira Leite on 9/15/2020

Just the best I've ever seen

By Sanchari Ghosh on 9/4/2020

Dataframes where explained very nicely . Datasets average. And RDDs very poor. For a beginner, RDDs needed to be taught in more simple language. No introduction on Spark Streaming, Mlib, GraphX. This course if entirely on dataframes. If your need is to work on dataframes then go for it.

By Ravindra Raghuwanshi on 9/2/2020