All Tutorials

Spark 3.0 & Big Data Essentials with Scala | Rock the JVM – Course Catalog

Spark 3.0 & Big Data Essentials with Scala | Rock the JVM - Course Catalog Now with Spark 3.0: Learn practical Big Data with Spark DataFrames, Datasets, RDDs, and Spark SQL, hands-on, in Scala
Spark 3.0 & Big Data Essentials with Scala | Rock the JVM - Course Catalog Now with Spark 3.0: Learn practical Big Data with Spark DataFrames, Datasets, RDDs, and Spark SQL, hands-on, in Scala

Spark 3.0 & Big Data Essentials with Scala | Rock the JVM

Now with Spark 3.0, get hands-on experience with Spark DataFrames, Datasets, RDDs, and Spark SQL.

What you’ll learn

Spark 3.0 & Big Data Essentials with Scala | Rock the JVM

  • Apply the big data ideas of Spark.
  • With 100+ examples and exercises, you may practice Spark DataFrames operations.
  • Use Spark Datasets to practice type-safe data processing.
  • RDDs can be used to interact with low-level Spark APIs.
  • For data processing, utilize Spark SQL.
  • Data can be migrated from a variety of sources, including databases.

Requirements

  • Scala foundations at the beginner’s level of the Rock the JVM course.
  • Advanced Scala – implicit

Description

UPDATED FOR SPARK 3.0

We will learn how to develop large data apps with Apache Spark 3 and Scala in this course.

With supervision, you’ll build 2000+ lines of Spark code on your own and become a rockstar.

This course is designed for Scala programmers new to Apache Spark and big data.

Advanced Spark engineers should not take this course.

Why Scala Sparks:

  • It’s lightning-fast when it comes to massive data.
  • Its popularity has skyrocketed, and it’s a highly marketable skill.
  • I prefer to get right to the point and finish what I’m working on.
  • This course is well-maintained, and it provides a foundation for a data scientist with dozens of high-quality expansions.
  1. Deconstructs all notions into the essential components you require.
  2. Takes the most important ideas and divides them into simple but critical and strong categories.
  3. Throughout the learning process, arranges ideas in a way that “clicks” and makes sense.
  4. Everything is done in live code

This course is for experienced programmers who have completed the Rock the JVM Scala beginners course and have familiarity with Scala and functional programming. I already take for granted that you have a firm grasp on the principles of programming.

Although the course is extensive, you’ll notice that I always get right to the point. To become a badass programmer, make sure you have a high level of focus and devotion.
Both theory and practice, in my opinion, are essential. As a result, you’ll receive lectures with code examples, real-life code demonstrations, and assignments, as well as extra materials, instructions, exercises, and solutions. You’ll have written hundreds of lines of Spark code by the end of the course.

When my pupils are guided but not instructed what to do, they are the most successful – and my best students work at Google-level firms. I’ve prepared some tasks for you, in which I’ll offer my (opinionated) advice but leave you free to experiment and improve your code.

Last but not least, my students are most effective when they are having fun while learning!

So come along with me in this training and let’s rock the JVM together!

Who this course is for:

  • Data scientists of the future
  • Programmers who want to work in the Big Data industry.
  • Engineers who want to understand Spark in its native language, Scala.

Spark 3.0 & Big Data Essentials with Scala | Rock the JVM

Apache Spark with Scala – Hands On with Big Data!
Download Now

Advertisement

Categories