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Spark Scala Real-World Coding Frameworks and Testing (Udemy.com)

Spark Scala Framework, Hive, IntelliJ, Maven, Logging, Exception Handling, log4j, ScalaTest, JUnit

Created by: FutureX Skills

Last updated September 2026

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What you will learn

  • Spark Scala industry standard coding practices - Logging, Exception Handling, Reading from Configuration File
  • Unit Testing Spark Scala using JUnit , ScalaTest, FlatSpec & Assertion
  • Building a data pipeline using Hive, Spark and PostgreSQL
  • Spark Scala development with Intellij, Maven
  • Cloudera QuickStart VM setup on GCP

How it compares

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

  • Rating4.0 out of 5higher than 18% of them
  • Reviews270#81 of 151 by number of reviews
  • Length3.8 hoursshorter than 76% of them
  • Last updatedSeptember 2026more recently than 91% of them

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Course Description

This course bridges the gap between academic learning and real-world application, preparing you for an entry-level Big Data Spark Scala Developer role. You'll gain hands-on experience with industry best practices, essential tools, and frameworks used in Spark development.

What You’ll Learn:

  • Spark Scala Coding Best Practices – Write clean, efficient, and maintainable code

  • Logging – Implement logging using Log4j and SLF4J for debugging and monitoring

  • Exception Handling – Learn best practices to handle errors and ensure application stability

  • Configuration Management – Use Typesafe Config for managing application settings

  • Development Setup – Work with IntelliJ and Maven for efficient Spark development

  • Local Hadoop Hive Environment – Simulate a real-world big data setup on your machine

  • PostgreSQL Integration – Read and write data to a PostgreSQL database using Spark

  • Unit Testing – Test Spark Scala applications using JUnit, ScalaTest, FlatSpec & Assertions

  • Building Data Pipelines – Integrate Hadoop, Spark, and PostgreSQL for end-to-end workflows

  • Bonus – Set up Cloudera QuickStart VM on Google Cloud Platform (GCP) for hands-on practice

Prerequisites:

  • Basic programming knowledge

  • Familiarity with databases

  • Introductory knowledge of Big Data & Spark

This course provides practical, hands-on training to help you build and deploy real-world Spark Scala applications. By the end of this course, you’ll have the confidence and skills to build, test, and deploy Spark Scala applications in a real-world big data environment.


This course uses high-quality AI-generated text-to-speech narration to complement the powerful visuals and enhance your learning experience.

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Instructor Details

FutureX Skills

Welcome to FutureXSkills!


FutureXSkills is dedicated to helping developers, data professionals, and AI enthusiasts build practical, job-ready skills through hands-on learning. With 80,000+ students worldwide, our mission is to make complex technologies simple, accessible, and easy to apply in real-world projects.


Our courses cover a wide range of topics, including AI Engineering, AI Agents, Agentic AI, Machine Learning, MLOps, Data Engineering, Apache Spark, Databricks, Python, and Big Data technologies. Whether you're just starting your journey or looking to expand your expertise, our step-by-step approach helps you build confidence by creating real applications from scratch.


We believe the best way to learn is by building. That's why every course emphasizes practical projects, clear explanations, visual demonstrations, and real-world use cases rather than theory alone. Our goal is not only to teach you how to use today's tools and frameworks but also to help you understand the engineering principles that will remain valuable as technology continues to evolve.


Thank you for choosing FutureXSkills. We look forward to being part of your learning journey and helping you build the skills to succeed in the rapidly evolving world of AI and data engineering.

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Reviews

4.0

270 ratings on Udemy

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By Laura Jiménez González on 8/7/2023

The absence of clear and detailed explanations made me feel lost many times during the course. The course seemed to assume a certain level of prior knowledge that I simply didn't possess.

By Valiantsina Zakharava on 6/25/2023

This course is about scala and author is using as build tool maven not sbt. Materials is not structed and organized

By Thorin Oakenshield on 10/26/2022

Lots of practical information and advice. Definitely worth it to ramp up your knowledge with Scala and Spark.

By Prashant Vyas on 2/19/2022

Good self learning videos, troubleshooting is required to make things work specially to figure out pom.xml entries for the compatible version of spark and scala.

By Chiara Barbagianni on 1/7/2021

This course covers the basic of my daily job as a Data Engineer, from code to basic deployment on cluster. In addition, it provides Maven debugging tips and tricks - this has been particularly useful for me, as Maven import errors can be very tedious and time consuming to debug. It doesn't deep dive in the many technologies used (IntelliJ, Scala, Maven, Spark API, Postgres, Scalatest, GCP, Docker), but it provides all the basic info needed to set up and demo the complete lifecycle of a simple Scala Spark project. Don't get me wrong, this course is indeed packed with info. It took me way longer than the 3.5 hours video to review and try hands on the course contents. An excellent refresher before being back to work after longer winter vacations.

By Michael Scholtes on 1/3/2021

I had trouble getting this hello world to work using gradle instead of maven. And with either, the scala worksheet crashed with a version mismatch. But neither issue prevented me from continuing.

By Izzuddin Ahsanujunda on 11/30/2020

The material is exactly what I need to write a clean spark job. However, the pace of the course is a bit too fast, it's hard to keep up especially if we want to code along.

By A Paula on 10/26/2020

The course is very good, it exceeded my expectations. The only drawback is the lack of English subtitles, at times I could not understand the audio of the recording.

By Suvendu Lenka on 6/16/2020

Very Informative but too fast, need little bit slow, need to see the important steps but this is what I am looking for it.Awesome :)

By Rashmi Dutta on 5/9/2020

Really nice! Very helpful for beginners who are getting started with Spark development. This course goes beyond the DataFrame / RDD and teaches you how to organize code and create a framework. Well Done!

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Overall Score : 80 / 100