Apache Spark 3 & Big Data Essentials in Scala | Rock the JVM free download

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. It’s not only for advanced Scala engineers. It’s designed for Spark 3.2 and will be updated for the new version of the Apache Spark software. The course includes 100+ examples and exercises to help you learn more about big data applications with Spark 3 and Scala. You’ll also be able to use Spark DataFrames to work with low-level Spark APIs with RDDs and use Spark SQL .

What you’ll learn in Apache Flicker 3 & & Big Information Fundamentals in Scala|Rock the JVM

  1. use Glow huge data principles
  2. method Glow DataFrames operations with 100+ examples as well as exercises
  3. technique type-safe information processing with Flicker Datasets
  4. deal with low-level Flicker APIs with RDDs
  5. make use of Glow SQL for information refining
  6. migrate data from different information sources, including data sources


In this course, we will discover exactly how to write huge data applications with Apache Glow 3 as well as Scala. You’ll create 2000+ lines of Spark code yourself, with support, and also you will come to be a rockstar.
This course is for Scala designers that are starting with Apache Flicker and big information. The course is except advanced Spark designers.

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
File Name :Apache Spark 3 & Big Data Essentials in Scala | Rock the JVM free download
Content Source:udemy
Genre / Category:Development
File Size :3.46 gb
Publisher :Daniel Ciocîrlan
Updated and Published:05 May,2022

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File name: Apache-Spark-3-Big-Data-Essentials-in-Scala-Rock-the-JVM.rar
File Size:3.46 gb
Course duration:6 hours
Instructor Name:Daniel Ciocîrlan
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