
Data Engineering, Big Data, and Machine Learning on GCP
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This course treats Spark as the next step for someone who already writes Scala. It spends its time on the critical ideas behind distributed data processing, then applies them in live code. The emphasis is on getting to the point and building working applications rather than on long theory detours.
Established programmers who are comfortable with functional programming and parallel concepts are the target audience. The description is explicit that it is not for advanced Spark engineers, and equally clear that anyone who has never written Scala should look elsewhere first.
Plan for a steady commitment, because the course expects focus and builds up over 2000+ lines of Spark code.
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!
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Tracking since 15 Nov — not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.
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