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Master Apache Spark (Scala) for Data Engineers (Udemy.com)

Intense course to learn Apache Spark with lots of hands to excel in Data Engineering

Created by: Navdeep Kaur

Last updated May 2024

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What you will learn

  • Students will learn Spark Architecture, Internals, Working with RDDs, Working with Dataframes, Using IDE, Running Spark on EMR Cluster.

How it compares

Against the other 150 rated Udemy courses in Hadoop on CourseDuck:

  • Rating4.4 out of 5higher than 54% of them
  • Reviews127#107 of 151 by number of reviews
  • Length4.7 hoursshorter than 63% of them
  • Last updatedMay 2024more recently than 58% of them

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Course Description

This course is designed in such a manner to cover basics to advanced concept to learn Apache Spark 3.x  in most efficient and concise manner. This course will be beneficial for beginners as well as for those who already know Apache Spark. It covers in-depth details about spark internals, datasets, execution plan, Intellij IDE, EMR cluster with lots of hands on.

This course is designed for Data Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark. It does not require any prior knowledge of Apache Spark or Hadoop.  Spark Architecture and fundamental concepts are explained in details to help you grasp the content of this course. This course uses the Scala programming language which is the best language to work with Apache Spark.

This course covers:

  • Intro to Big data ecosystem

  • Spark Internals in details

  • Understanding Spark Drivers, executors.

  • Understanding Execution plan in details

  • Setting up environment on Local/Google cloud

  • Working with Spark Dataframes

  • Working with Intellij IDE

  • Running Spark on EMR cluster (AWS Cloud)

  • Advanced Dataframe examples

  • Working with RDD

  • RDD examples

By the end of this course, you'll be able to answer any spark interview question and will be able to  run code that analyzes gigabytes worth of information in Apache Spark in a matter of minutes.






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Instructor Details

Navdeep Kaur

Navdeep is one of the renowned Premium Instructor at Udemy. Navdeep has 14 years of industry experience in different technologies and domains. With 9+ courses and 60,000+ students and rating of 4.5*, she is one of the leading instructors in the field of Big Data & Cloud.

Happy Learning!

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Reviews

4.4

127 ratings on Udemy

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By Anonymized User on 4/16/2026

Some of the resources referenced in the lecture was not provided such as movies.json, and also orders.txt (lecture 60). The course ended without any wrap up.

By Dinesh on 11/6/2025

Mam, you taught me vary clearly and I did not use google for any doubts. Your instructions are crystal clear. It would be great if you share some notes or cheat sheets in the resources so that it would be easy for us to take notes. Thank you so much for all for all your hard-work! It was really a pleasant course and it did not make us to get bored on any stage. Thanks a lot !!!!!!!!!!! Please add a course for Spark performance tuning :D

By Tejashree RASTOGI on 9/20/2025

Instructor is quite knowledgable. Needs to modulate voice and take pauses while speaking else it becomes difficult to keep up.

By Khalid Hussain on 12/1/2022

amazing way of teaching. recommend for all who need to understand very basic to advance levels of apache spark with scala.

By Sarma Pydipally on 11/24/2022

Amazing journey in learning Spark with Scala. Thank you. I learnt a lot of new things.

By Siva K on 4/4/2022

No practical implementations real world scenarios

By Anderson Santana on 11/17/2021

In-depth details about spark and its processes. The course is great and the technical language is easy to comprehend.

By Riyaz Ali Mohammad on 10/27/2021

Amazing explanation by Navneet ma'am! One stop solution to learn spark from the scratch!

By Abul Khair on 9/3/2021

good explanations and introduction of workflow Outstanding introduction to SCALLA

By Nuzrul Islam on 9/3/2021

I liked it very much and you seem like a very nice person but a great teacher also.

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Read all 127 reviews on Udemy

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Overall Score : 88 / 100