Skip to content
UdemyHadoopPaid courseAll LevelsCertificate

Master Apache Spark - Hands On! (Udemy.com)

Learn how to slice and dice data using the next generation big data platform - Apache Spark!

Created by: Job Ready Programmer

Last updated September 2025

Our take

Based on the ratings of 1,352 students and a sample of their written reviews. No course pays to be reviewed.

This is a Java developer's route into Apache Spark, taught by Imtiaz of Job Ready Programmer. Over about 7 hours the course builds more than 15 practical applications: Spark SQL and Dataframes, joins and aggregations across text, CSV and JSON, a pass at 18 million Reddit comments, streaming stock data and Kafka messages, and basic MLlib algorithms like linear regression, logistic regression and K-Means. It's listed as All Levels, but reviewers and the syllabus make clear it really wants someone already comfortable writing Java.

Reviewers keep circling back to the same thing: the instructor explains slowly and repeats key concepts until they stick, which several students say is exactly what let hard ideas land. One reviewer called the examples succinct and hands-on, another said the repetition made it easy to remember the material. The complaints are narrower but real. One student found the instructor unresponsive to posted questions. Another, in a detailed one-star review, felt the course leaned too hard on basic API mechanics and Java syntax and too little on how Spark actually behaves on a cluster, plus performance and optimization, and flagged some blurry video clips. A Portuguese-language review agrees the content is solid but assumes more than beginner Java.

At 7 hours it's a compact, focused course rather than an exhaustive one, and reviewers treat it that way: good for getting Spark onto a resume and writing real Dataframe code fast, not for mastering cluster tuning or distributed systems theory. Updated in 2025 and still pulling a 4.6 average across 1,350 ratings, it holds up well for a narrower, hands-on alternative next to broader Hadoop-ecosystem courses. Worth it for Java developers who want to ship Spark code quickly; look elsewhere if internals and performance are the point.

Best forJava developers who want hands-on Spark SQL, Dataframes, streaming and MLlib practice.
Skip it ifYou don't know Java yet, or you want deep coverage of cluster internals and performance tuning.

Pros

  • Instructor repeats key concepts until they actually sink in, reviewers say
  • 15+ hands-on Spark Java projects using real datasets, including 18 million Reddit comments
  • Covers Spark SQL, Dataframes, streaming, Kafka and MLlib basics in one course
  • Full course code included to reuse or reference later

Cons

  • A 3-star review says the instructor doesn't respond to student questions
  • Light on cluster internals and performance tuning, per detailed critical review
  • Assumes intermediate Java, despite being listed as All Levels
Amazing course! well structured and organized, you won't miss any of the key points, because the instructor will repeat several times for the things you absolutely need to remember.
Jinpeng Wu, a student

Billed All Levels, but reviews and syllabus really point to Java developers, not total beginners.

icon
What you will learn

  • Utilize the most powerful big data batch and stream processing engine to solve big data problems
  • Master the new Spark Java Datasets API to slice and dice big data in an efficient manner
  • Build, deploy and run Spark jobs on the cloud and bench mark performance on various hardware configurations
  • Optimize spark clusters to work on big data efficiently and understand performance tuning
  • Transform structured and semi-structured data using Spark SQL, Dataframes and Datasets
  • Implement popular Machine Learning algorithms in Spark such as Linear Regression, Logistic Regression, and K-Means Clustering

How it compares

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

  • Rating4.6 out of 5higher than 84% of them
  • Reviews1,352#46 of 151 by number of reviews
  • Length7 hourslonger than 57% of them
  • Last updatedSeptember 2025more recently than 75% of them

icon
Course Description

Welcome to Apache Spark Mastery – Hands-On Big Data Processing!

Are you a Java developer or data engineer eager to harness the power of big data?

Do you want to design scalable data processing pipelines using one of today’s most powerful platforms?

Have you been challenged by real-time data streams or the complexities of performance tuning in distributed systems?

If you answered yes, then you’re in the right place.

What Makes This Course Stand Out?

  • Hands-On Experience: Build over 15 real-world Spark applications that tackle actual data challenges.

  • Comprehensive Curriculum: Dive deep into Spark’s Java Datasets API, Spark SQL, Dataframes, and Streaming to transform and analyze data efficiently.

  • Cloud Deployment & Performance Tuning: Learn how to deploy Spark jobs on the cloud, benchmark performance, and optimize clusters for maximum efficiency.

  • Industry-Relevant Projects: Work with diverse data sources—from text and CSV to JSON—and analyze large-scale datasets like millions of Reddit comments.

Why This Course Is Essential:

Apache Spark is the next generation batch and stream processing engine. It's been proven to be almost 100 times faster than Hadoop and much much easier to develop distributed big data applications with. It's demand has sky rocketed in recent years and having this technology on your resume is truly a game changer. Over 3000 companies are using Spark in production right now and the list is growing very quickly!  Some of the big names include: Oracle, Hortonworks, Cisco, Verizon, Visa, Microsoft, Amazon as well as most of the big world banks and financial institutions! 

You'll be developing over 15 practical Spark Java applications crunching through real world data and slicing and dicing it in various ways using several data transformation techniques. This course is especially important for people who would like to be hired as a java developer or data engineer because Spark is a hugely sought after skill. We'll even go over how to setup a live cluster and configure Spark Jobs to run on the cloud. You'll also learn about the practical implications of performance tuning and scaling out a cluster to work with big data so you'll definitely be learning a ton in this course.

Topics Covered in the Apache Spark Course

In this course, you'll learn everything you need to know about using Apache Spark in your organization while using their latest and greatest Java Datasets API.  Below are some of the things you'll learn:

  • How to develop Spark Java Applications using Spark SQL Dataframes

  • Understand how the Spark Standalone cluster works behind the scenes

  • How to use various transformations to slice and dice your data in Spark Java

  • How to marshall/unmarshall Java domain objects (pojos) while working with Spark Datasets

  • Master joins, filters, aggregations and ingest data of various sizes and file formats (txt, csv, Json etc.)

  • Analyze over 18 million real-world comments on Reddit to find the most trending words used

  • Develop programs using Spark Streaming for streaming stock market index files

  • Stream network sockets and messages queued on a Kafka cluster

  • Learn how to develop the most popular machine learning algorithms using Spark MLlib

  • Covers the most popular algorithms: Linear Regression, Logistic Regression and K-Means Clustering

KEY BENEFITS OF APACHE SPARK MASTERY

Mastering Apache Spark positions you at the forefront of big data technology. With this expertise, you’ll be able to design efficient, scalable data processing pipelines that are in high demand across industries. Spark’s widespread adoption by over 3000 companies—including Oracle, Cisco, and Amazon—underscores its value in today's competitive tech landscape. This course will not only boost your technical skills but also enhance your resume, opening doors to exciting career opportunities in data engineering and data science.

KEY TAKEAWAY

By the end of this course, you’ll have the practical skills and in-depth knowledge to harness Apache Spark for building high-performance, scalable data solutions. Whether you’re looking to boost your career or transform how your organization handles big data, Apache Spark Mastery is your gateway to success.

This course has a 30 day money back guarantee. You will have access to all of the code used in this course.

Ready to transform your big data capabilities? Enroll now and start mastering Apache Spark today!

icon
Udemy Discount

The discount is applied through our link. Open the course from here and Udemy's current promotional price is applied at checkout on most courses, no code to type.

Some courses are excluded from Udemy's promotions. If the price does not drop, clear your browser cookies and use the button again.

icon
Instructor Details

Job Ready Programmer

You can’t learn programming from reading books or online fill-in-the-blank type tutorials. Especially the online tutorials with browser based exercises where you code directly in your browser. The problem with that approach is that it doesn’t provide practical experience. It provides an illusion of learning something as it tugs you along to complete an assignment that’s more of a fill-in-the-blank type problem. A student feels like they’ve learned something but that knowledge does not stick. Unfortunately that experience will not help in an interview nor an actual project. Valuable time ends up going to complete waste. At JRP (JobReadyProgrammer), we don’t follow hype. We do what works! We take a traditional route to teaching how to code advancing slowly & patiently in the lectures often repeating key concepts in multiple different ways to help students really solidify the knowledge and mold their foundation to discover how to code properly and then boy do we test the skills! Students are put right in the middle of a practical real-world programming assignment to apply everything they've learned. So enough of those “key in the next few commands to fill in the puzzle and we’ll advance you” kind of tutorials. Here you’ll need to roll up your sleeves and get to work on solving practical programming assignments.

icon
More courses by Job Ready Programmer

$199.99

$174.99

$24.99

$74.99

$15.99

$14.99

icon
More Hadoop courses

$11.99

$12.99

$14.99

$94.99

$10.99

$39.99

icon
Reviews

4.6

1,352 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Anonymized User on 9/21/2022

Good a get understanding on Spark for beginner. However required a knowledge on Java for this course. Anyways java or any oops programming language is implicitly requirement for using Spark.

By Chakrapani Kulkarni on 1/27/2022

This course is really awesome.. Imtiaz explained all concepts related to spark in detail, i'm looking forward to use this leaning at my work, Definitely gave me more confidence to work on any spark project.

By KAUSTUBH-KASH SABNIS on 12/9/2020

This course is awesome, because it starts with real examples to build on the concepts. A lot of other courses start with theory, but in this course you get to work hands on lab! Loving this course so far.

By Somya Jain on 11/21/2020

Great

By Enrique Barcelo on 11/14/2020

This course is amazing and enabled me to start using Spark for my daily work. Thanks!

By Arti on 11/7/2020

Perfect course n content

By Cirino Martinez on 11/7/2020

excellent course, I liked it as an essential course to work spark with Java.

By David Borja on 10/5/2020

Awesome course! i learned a lot about Spark. Would be great an additional course on Spark ML.

By Ashish Kumar on 9/26/2020

Very nice content and wonderful delivery

By Varuna R on 9/22/2020

well explanation on each line of code

By Upendra Kanuru on 9/8/2020

Clear and concise

By Frank Plohmann on 8/25/2020

very good basics. which i needed.

Showing 12 of 73 reviews

icon
Quality Score

No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 92 / 100