UPDATED FOR SPARK 3.2
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.
Courses : 8
Specification: Apache Spark 3 & Big Data Essentials in Scala | Rock the JVM
26 reviews for Apache Spark 3 & Big Data Essentials in Scala | Rock the JVM