Apache Spark - Beyond Basics and Cracking Job Interviews (Udemy.com)
Learn Spark Internals, Architecture, Advanced Concepts to Prepare for Databricks Certification Exam and Job Interviews
Created by: Prashant Kumar Pandey
Last updated July 2024
What you will learn
- Apache Spark 3 Advanced Topics and Concept
- Deep Dive in to Spark 3 Architecture and Memory Management
- Learn AQE, DPP, Broadcast, Accumulators, and Multithreading in Spark 3
- Common Job Interview Questions and Answers
Course Description
Are you preparing for Databricks Spark Certification?
Or, you might be preparing for Spark Job Interviews.
Or you are looking for a place where you can learn Spark Architecture, Internals and advanced topics.
You are at the right place.
I designed this course with the following objectives.
Learn Advanced Spark Skills
Prepare for advanced Certification topics
Prepare and crack Spark Job Interviews
This course is not for beginners.
So if you are a beginner and want to learn from scratch, you should take my PySpark - Apache Spark Programming in Python for beginners course.
In this course, you will learn some advanced Spark skills that I have already collected as feedback from various students and professionals. This course also covers some advanced topics and concepts that are asked in the Databricks Spark certification exam. So PySpark - Apache Spark Programming in Python for beginners and Apache Spark - Beyond Basics and Cracking Job Interviews together cover 100% of the Databriks Certified Spark Developer Associate certification curriculum.
Many of the concepts covered in this course are part of the Data Engineering job interviews for Spark Developers.
So this course will also help you crack the Spark Developer and Data Engineer Job interviews.
Looking forward to seeing you on the course.
Keep Learning and Keep Growing.
Instructor Details
- 4.7 Rating
5,132 Reviews
Prashant Kumar Pandey
Prashant Kumar Pandey has spent over 25 years in IT as a developer, architect, consultant, trainer, and mentor, working with international software services organisations on data-centric, Big Data, and AI projects. That production experience — not just theory — is what shapes how he teaches Databricks, Spark, and cloud data engineering today.
He is the founder, lead author, and chief editor of ScholarNest, a skill-development platform offering courses, training, and technical articles since 2018. He also publishes free training content on his YouTube channel, Learning Journal, and writes for a following of 43,000+ data engineering professionals on LinkedIn.
Prashant is a firm believer in lifelong, continuous learning. Alongside his course work, he authors technical books and articles to help IT professionals and students close the gap between the skills they have and the skills the industry actually needs — the same gap this course is built to close.
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Reviews
By Bvs555@Gmail.Com sangameswar on 2/22/2026
I am a Senior Data Engineer at Amazon, and I can confidently say that he is one of the best Data Engineering tutors I have come across so far. Here are the reasons for my recommendation: 1. He explains concepts at a very fundamental level in a way that is easy to understand. You gain deep insights without having to invest an excessive amount of time. At times, it felt like a close friend was sharing internal system knowledge and practical insights that others usually hesitate to share. 2. His course is concise yet highly focused on what truly matters. There is no unnecessary content — just clear, relevant, and impactful learning. 3. His English is smooth, and his voice is calm and pleasant, which makes it easy to follow along even during longer sessions.
By Kaladhar Naidu Sompalyam on 2/2/2026
Getting things about spark -scala and spark - python and diff between Spark built JVM language vs python interpretor language . What is the diff if you use python as Language
By Ravi Chandragiri on 1/26/2026
Extremely detailed course that covers critical architecture and performance areas. It serves as an excellent refresher for experienced Spark developers and is a must-watch for anyone looking to understand Spark's internal mechanics and how to solve real-world performance challenges.
By Anonymized User on 1/9/2026
After many failed trials of finding the good pyspark course, finally my senior recommended me this one. And it is so well explained and described that not a single topic goes without you fully understanding it.
By Kiran SS on 11/30/2025
Spark internals are explained clearly. Only thing is I had to slow down the video to 0.75X as I am not able to absorb content in the original recorded speed of the trainer.
By Abhishek Verma on 10/26/2025
A really in depth course on the internal working of Spark focused on the exam. However Shuffle operations the map and reduce part of it could have been explained in more detail. they are just slightly touched that too in a Q&A video. Overall I would like to recommend this course to anyone willing to learning spark beyond the basics and optimising your queries.
By Sergio Moragón on 5/7/2025
Fast paced but, in general terms, a really well explained matter. Maybe sometimes deepening into details may feel a bit confusing or overwhelming, but I also liked the complexity. Nice course!
By Dinesh Choudhary on 11/27/2023
Great course! Only thing missing is the course slides. If they can be provided under recourse section, it would be much appreciated. Students can use the slides for quick reference.
By Anonymized User on 9/9/2023
Explanation is very clear even a person who doesn't have knowledge also can understand 90% of the content, and I'm one of them. Thanks to Prashant sir for sharing his knowledge.
By Trupti Khatri on 8/4/2022
Excellent. The way you explained each concept in details is awesome. I will highly recommend to take this course if you are working on Spark to become a more advanced developer.
Quality Score
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Overall Score : 94 / 100










