PySpark Project- End to End Real Time Project Implementation (Udemy.com)
Implement PySpark Real Time Project. Learn Spark Coding Framework. Transform yourself into Experienced PySpark Developer
Created by: Sibaram Kumar
Last updated October 2025
What you will learn
- End to End PySpark Real Time Project Implementation.
- Projects uses all the latest technologies - Spark, Python, PyCharm, HDFS, YARN, Google Cloud, AWS, Azure, Hive, PostgreSQL
- Learn a pyspark coding framework, how to structure the code following industry standard best practices.
- Install a single Node Cluster at Google Cloud and integrate the cluster with Spark.
- install Spark as a Standalone in Windows.
- Integrate Spark with a Pycharm IDE.
- Includes a Detailed HDFS Course.
- Includes a Python Crash Course.
- Understand the business Model and project flow of a USA Healthcare project.
- Create a data pipeline starting with data ingestion, data preprocessing, data transform, data storage ,data persist and finally data transfer.
- Learn how to add a Robust Logging configuration in PySpark Project.
- Learn how to add an error handling mechanism in PySpark Project.
How it compares
Against the other 150 rated Udemy courses in Hadoop on CourseDuck:
- Rating4.1 out of 5higher than 24% of them
- Reviews501#70 of 151 by number of reviews
- Length14.8 hourslonger than 83% of them
- Last updatedOctober 2025more recently than 76% of them
Course Description
End to End PySpark Real Time Project Implementation.
Projects uses all the latest technologies - Spark, Python, PyCharm, HDFS, YARN, Google Cloud, AWS, Azure, Hive, PostgreSQL.
Learn a pyspark coding framework, how to structure the code following industry standard best practices.
Install a single Node Cluster at Google Cloud and integrate the cluster with Spark.
install Spark as a Standalone in Windows.
Integrate Spark with a Pycharm IDE.
Includes a Detailed HDFS Course.
Includes a Python Crash Course.
Understand the business Model and project flow of a USA Healthcare project.
Create a data pipeline starting with data ingestion, data preprocessing, data transform, data storage ,data persist and finally data transfer.
Learn how to add a Robust Logging configuration in PySpark Project.
Learn how to add an error handling mechanism in PySpark Project.
Learn how to transfer files to AWS S3.
Learn how to transfer files to Azure Blobs.
This project is developed in such a way that it can be run automated.
Learn how to add an error handling mechanism in PySpark Project.
Learn how to persist data in Apache Hive for future use and audit.
Learn how to persist data in PostgreSQL for future use and audit.
Full Integration Test.
Unit Test.
Instructor Details
- 4.1 Rating
501 Reviews
Sibaram Kumar
CCA Spark and Hadoop Developer Certified.
I have over 13 years of Professional Experience in Data Engineering Functions: Data Warehousing, Data Analytics, Data Models, Reporting, Database Design, Modelling and Development. I am a certified CCA Spark and Hadoop Developer, AWS and Oracle SQL, PLSQL. I enjoy teaching students in different technologies such as PySpark, Python, AWS and Oracle.
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Reviews
By Hosea Mutwiri Kinyua on 8/16/2026
This has been a very valuable course for me as I continue developing my skills in Data Engineering. I especially appreciated the hands on approach and the way the instructor demonstrates how to structure a real world Pyspark project using industry standard practices. The step by step implementation makes it easier to follow along. Overall, I would recommend this course to anyone who wants to gain practical experience building an end-to-end data engineering project.
By Ajinkya Thokal on 7/17/2023
I am not able to install this course properly, there is no updated lecture for current date.
By Vivek Purkayastha on 4/4/2023
This course teaches you about productionizing PySpark code as you would do in Industry... Author has done a good job about that .... However course uses a single node ( one VM instance in GCP) to simulate the Cluster ... In my opinion the Author should have shown how to do the same using multi-node cluster (data proc) since we are using free tier in GCP any how. Otherwise, it is a good course.
By Shravan Kumar on 2/6/2023
I would not take away the 5-star rating, as the instructor was well versed and was on path from start to end, however few lectures have no sound in the last few mins, also there were few installation issues, not covered in course but was able to solve via Q&A and googling it. It was a wonderful course which gave good idea on how a real time project works.
By Debasish panigrahy on 2/6/2023
Thank you for a great course. Great presentation style with lots of opportunities to ask questions and talk about real life examples which all made for a really enjoyable and informative course. This has more than met my expectations. A wonderfully practical course - both personally and professionally. I will take away lots of things that I can quickly and easily apply.
By Gerard Sho Huang Wei on 2/5/2023
Pretty much no explanation on the technologies etc. Just follow-along tutorials. Subtitles are poor. Hope I stand corrected. EDIT : Better clarity when reaching the middle section. However still difficult to piece all the information together. Will be better if the overview can be more detailed at the beginning and rearranging some sections.
By Anurag Jindal on 8/28/2022
Excellent course!!! I got experience of how real time pyspark project works. I was searching for this kind of project for long. Thanks and kudos to Sibaram Kumar for making this wonderful course. Highly recommend to everyone who is learning big data using spark
By Miguel Pérez on 7/31/2022
Good content structuring, but the installation process for all the programs in the cluster is a little messy and yielded me some annoying errors due to versions and compatibilities. Also the audio quality is a little scuffed
By Jh on 7/20/2022
The content is good. I was able to learn the functions of Hadoop and PySpark while following the project. But the caption was wrong, so I understood it by looking at the same part several times.
By Swapnil Rana on 5/13/2022
this is a well taught course for someone who is staring a career in data engineering field, this certainly will put you in a position to get familiarize with industry standard project concepts and how entire project flow work, well recommended to others. well done Sibaram Kumar
Quality Score
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Overall Score : 82 / 100






