MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lessons (9h 51m) | Size: 2.1 GB


What you’ll 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


Scala fundamentals, at the level of the Rock the JVM beginners course

Scala advanced – implicits


In this course, we will learn how to write big data applications with Apache Spark 3 and Scala. You’ll write 2000+ lines of Spark code yourself, 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.

Why Spark in Scala:

it’s blazing fast for big data

its demand has exploded

it’s a highly marketable skill

it’s well maintained, with dozens of high-quality extensions

it’s a foundation for a data scientist

I like to get to the point and get things done. This course

deconstructs all concepts into the critical pieces you need

selects the most important ideas and separates them into what’s simple but critical and what’s powerful

sequences ideas in a way that "clicks" and makes sense throughout the process of learning

applies everything in live code

The end benefits are still much greater:

a completely new mental model around data processing

significantly more marketable resume

more enjoyable work – Spark is fun!

This course is for established programmers with experience with Scala and with 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 if

you’ve never written Scala code before

you don’t have some essential parallel programming background (e.g. what’s a process/a thread)

The course is comprehensive, but you’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.

I believe both theory and practice 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 otherwise freedom 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 scientists

Programmers getting into the field of Big Data

Engineers wanting to learn Spark in Scala, its native language





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