Azure Databricks & Spark For Data Engineers:Hands-on Project — 90% OFF Discount Coupon

Real World Project on Formula1 Racing using Databricks, PySpark, Spark SQL, Delta Lake, Unity Catalog,Azure Data Factory

★4.6 out of 5
162,135 students
Created by Ramesh Retnasamy
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Azure Databricks & Spark For Data Engineers:Hands-on Project before you enroll:

•Course Name: Azure Databricks & Spark For Data Engineers:Hands-on Project
•Platform: Udemy
•Instructor: Ramesh Retnasamy
•Coupon Last Verified: May 3, 2026
•Level: All Levels
•Topic: IT & Software
•Subtopic: Databricks
•Total Time: 20h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: You will learn how to build a real world data project using Azure Databricks and Spark Core. This course has been taught using real world data. · You will acquire professional level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2 and Azure Data Factory (ADF) · You will learn how to create notebooks, dashboards, clusters, cluster pools and jobs in Azure Databricks
•Requirements: All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey · Basic Python programming experience will be required
•Current Price: $9.99 (was $99.99). You save $90.00 with 90% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Azure Databricks & Spark For Data Engineers:Hands-on Project, you'll have these practical skills:

✓You will learn how to build a real world data project using Azure Databricks and Spark Core. This course has been taught using real world data. .
✓You will acquire professional level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2 and Azure Data Factory (ADF) .
✓You will learn how to create notebooks, dashboards, clusters, cluster pools and jobs in Azure Databricks .
✓You will learn how to ingest and transform data using PySpark in Azure Databricks .
✓You will learn how to transform and analyse data using Spark SQL in Azure Databricks .
✓You will learn about Data Lake architecture and Lakehouse Architecture. Also, you will learn how to implement a Lakehouse architecture using Delta Lake. .
✓You will learn how to create Azure Data Factory pipelines to execute Databricks notebooks .
✓You will learn how to create Azure Data Factory triggers to schedule pipelines as well as monitor them. .
✓You will gain the skills required around Azure Databricks and Data Factory to pass the Azure Data Engineer Associate certification exam DP203 .
✓You will learn how to connect to Azure Databricks from PowerBI to create reports .
✓You will gain a comprehensive understanding about Unity Catalog and the data governance capabilities offered by Unity Catalog. .
✓You will learn to implement a data governance solution using Unity Catalog enabled Databricks workspace.

What You Need Before Starting

Before enrolling in Azure Databricks & Spark For Data Engineers:Hands-on Project, make sure you have:

•All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey
•Basic Python programming experience will be required
•Basic SQL knowledge will be required
•Knowledge of cloud fundamentals will be beneficial, but not necessary
•Azure subscription will be required, If you don't have one we will create a free account in the course

About This Udemy Course

The following is the full official course description for Azure Databricks & Spark For Data Engineers:Hands-on Project as published on Udemy by instructor Ramesh Retnasamy:

Major updates to the Azure Databricks & Spark For Data Engineers:Hands-on Project course since the launch

Update 3 - New sections 25, 26 and 27 added to include Unity Catalog. Unity Catalog is a recent addition to Databricks which offers unified data governance solution for a Data Lakehouse. These sections cover all aspects of Unity Catalog and the implementation using a project.

Update 2 - New sections 6 and 7 added. Section 8 Updated. These changes are to reflect latest Databricks recommendations around accessing Azure Data Lake. Also, this provides a better solution to complete the course project for students using Azure Student Subscription or Corporate Subscriptions with limited access to Azure Active Directory.

Update 1 - Sections 3, 4 & 5 updated to reflect recent UI changes to Azure Databricks. Also included lessons on additional functionality included by Databricks recently to Databricks clusters. .

Welcome!

I am looking forward to helping you with learning one of the in-demand data engineering tools in the cloud, Azure Databricks! This course has been taught with implementing a data engineering solution using Azure Databricks and Spark core for a real world project of analysing and reporting on Formula1 motor racing data.

This is like no other course in Udemy for Azure Databricks. Once you have completed the course including all the assignments, I strongly believe that you will be in a position to start a real world data engineering project on your own and also proficient on Azure Databricks. I have also included lessons on Azure Data Lake Storage Gen2, Azure Data Factory as well as PowerBI. The primary focus of the course is Azure Databricks and Spark core, but it also covers the relevant concepts and connectivity to the other technologies mentioned. Please note that the course doesn't cover other aspects of Spark such as Spark streaming and Spark ML. Also the course has been taught using PySpark as well as Spark SQL; It doesn't cover Scala or Java.

The course follows a logical progression of a real world project implementation with technical concepts being explained and the Databricks notebooks being built at the same time. Even though this course is not specifically designed to teach you the skills required for passing the Azure Data Engineer Associate Certification Exam DP203, it can greatly help you get most of the necessary skills required for the exam. Similarly, the course teaches the skills required to pass the Databricks Certified Data Engineer Associate Certification.

I value your time as much as I do mine. So, I have designed this course to be fast-paced and to the point. Also, the course has been taught with simple English and no jargons. I start the course from basics and by the end of the course you will be proficient in the technologies used.

Currently the course teaches you the following

Azure Databricks
  • Building a solution architecture for a data engineering solution using Azure Databricks, Azure Data Lake Gen2, Azure Data Factory and Power BI
  • Creating and using Azure Databricks service and the architecture of Databricks within Azure
  • Working with Databricks notebooks as well as using Databricks utilities, magic commands etc
  • Passing parameters between notebooks as well as creating notebook workflows
  • Creating, configuring and monitoring Databricks clusters, cluster pools and jobs
  • Mounting Azure Storage in Databricks using secrets stored in Azure Key Vault
  • Working with Databricks Tables, Databricks File System (DBFS) etc
  • Using Delta Lake to implement a solution using Lakehouse architecture
  • Creating dashboards to visualise the outputs
  • Connecting to the Azure Databricks tables from PowerBI

Spark (Only PySpark and SQL)
  • Spark architecture, Data Sources API and Dataframe API
  • PySpark - Ingestion of CSV, simple and complex JSON files into the data lake as parquet files/ tables.
  • PySpark - Transformations such as Filter, Join, Simple Aggregations, GroupBy, Window functions etc.
  • PySpark - Creating local and temporary views
  • Spark SQL - Creating databases, tables and views
  • Spark SQL - Transformations such as Filter, Join, Simple Aggregations, GroupBy, Window functions etc.
  • Spark SQL - Creating local and temporary views
  • Implementing full refresh and incremental load patterns using partitions

Delta Lake
  • Emergence of Data Lakehouse architecture and the role of delta lake.
  • Read, Write, Update, Delete and Merge to delta lake using both PySpark as well as SQL 
  • History, Time Travel and Vacuum
  • Converting Parquet files to Delta files
  • Implementing incremental load pattern using delta lake

Unity Catalog
  • Overview of Data Governance and Unity Catalog
  • Create Unity Catalog Metastore and enable a Databricks workspace with Unity Catalog
  • Overview of 3 level namespace and creating Unity Catalog objects
  • Configuring and accessing external data lakes via Unity Catalog
  • Development of mini project using unity catalog and seeing the key data governance capabilities offered by Unity Catalog such as Data Discovery, Data Audit, Data Lineage and Data Access Control.

Azure Data Factory
  • Creating pipelines to execute Databricks notebooks
  • Designing robust pipelines to deal with unexpected scenarios such as missing files
  • Creating dependencies between activities as well as pipelines
  • Scheduling the pipelines using data factory triggers to execute at regular intervals
  • Monitor the triggers/ pipelines to check for errors/ outputs.

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Is the Azure Databricks & Spark For Data Engineers:Hands-on Project Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 3, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Azure Databricks & Spark For Data Engineers:Hands-on Project is a high-value resource for learners seeking to build skills inIT & Software. Taught by Ramesh Retnasamy on Udemy, the 20h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $99.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 90% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 162,135 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Azure Databricks & Spark For Data Engineers:Hands-on Project:

  • The depth of IT & Software coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Azure Databricks & Spark For Data Engineers:Hands-on Project Course holds an aggregate rating of 4.6 out of 5 based on 162,135 student reviews on Udemy.

4.6
★★★★★
162,135 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Ramesh Retnasamy, the instructor responsible for creating and maintaining Azure Databricks & Spark For Data Engineers:Hands-on Project on Udemy.

Azure Databricks & Spark For Data Engineers:Hands-on Project is taught by Ramesh Retnasamy, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Ramesh Retnasamy
•Subject Area: IT & Software
•Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Azure Databricks & Spark For Data Engineers:Hands-on Project, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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