Azure Databricks and Spark SQL (Python) — 90% OFF Coupon

Your Hands-On Guide to Databricks Data Engineering with PySpark and Spark SQL, including a 4-Part Course Project

★4.7 out of 5
30,386 students
Created by Malvik Vaghadia
English
Updated May 2026
Overview

Quick Facts — Azure Databricks and Spark SQL (Python) Overview

Here's a quick overview of everything you need to know about Azure Databricks and Spark SQL (Python) before you enroll:

•Course Name: Azure Databricks and Spark SQL (Python)
•Platform: Udemy
•Instructor: Malvik Vaghadia
•Coupon Last Verified: May 19, 2026
•Level: All Levels
•Topic: Development
•Subtopic: Databricks
•Total Time: 17h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: How to use Databricks to build and run data engineering workflows · The principles of the Lakehouse architecture with Delta Lake · How to process data with Spark SQL and PySpark
•Requirements: Basic to intermediate SQL · Basic to intermediate Python
•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

Skills You'll Master in This Course

By the end of Azure Databricks and Spark SQL (Python), you'll have these practical skills:

✓How to use Databricks to build and run data engineering workflows .
✓The principles of the Lakehouse architecture with Delta Lake .
✓How to process data with Spark SQL and PySpark .
✓Best practices for Databricks compute, jobs, and orchestration .
✓How to apply governance with Unity Catalog and manage secure access .
✓Working with streaming pipelines using Structured Streaming and Lakeflow .
✓Applying concepts to real-world projects with modular code and version control .
✓Real World Scenarios.
Prerequisites

Prerequisites for This Course

Before enrolling in Azure Databricks and Spark SQL (Python), make sure you have:

•Basic to intermediate SQL
•Basic to intermediate Python
Course Content

About This Udemy Course

The following is the full official course description for Azure Databricks and Spark SQL (Python) as published on Udemy by instructor Malvik Vaghadia:

I’m Malvik Vaghadia, a Data Engineer and Architect with nearly 15 years of professional experience. I'm also a recognised Databricks Champion, an honour given to a small global community for deep platform expertise and contribution to the wider ecosystem.

I’ve worked on multiple large-scale lakehouse implementations and consulted for enterprise clients. As an instructor, I’ve taught 200,000+ students worldwide and hold a 4.6+ instructor rating. Since launching this course, it has become one of Udemy’s best-sellers in the Databricks category, and this new version (Sept 2025) has been completely rebuilt with 17 hours of brand-new content.

Why Learn Databricks

Databricks is recognised as a Leader in the Gartner Magic Quadrant for Data & AI platforms. It has become the go-to lakehouse platform for modern data engineering, enabling organisations to build, orchestrate, and optimise pipelines at scale. By mastering Databricks, you’ll be learning one of the most in-demand skills in today’s data landscape.

Course Delivery Style

This course is designed with the right balance of theory, hands-on coding, and practical projects. Every concept is explained clearly, then demonstrated live in Databricks, and reinforced with a multi-phase, end-to-end project that you’ll build step by step. You’ll also get all course notebooks as downloadable materials, containing the full code, step-by-step documentation, and extra resources so you can follow along easily.

Curriculum Highlights:
  • Four Part Course Project: End-to-end NYC Taxi project and further pipeline builds across multiple parts as you develop your knowledge.
  • Foundations: What data engineering is, why Databricks, the Spark architecture, PySpark, and the Lakehouse.
  • Azure setup: Account creation, resources, role-based access control, naming conventions, and cost management.
  • Databricks setup: Creating and configuring a workspace, navigating the UI, and handling personal email restrictions.
  • Databricks notebooks and workspace: Markdown, comments, organising objects, mixing languages, and notebook tips.
  • Databricks compute: Clusters, DBU pricing, runtimes, serverless vs all-purpose compute, instance pools, and SQL warehouses.
  • Spark SQL (Python): Writing Spark SQL code using both SQL syntax and DataFrame APIs, reading/writing different file formats, defining schemas, and managing tables and views.
  • PySpark Transformations: Column operations, functions, filtering, sorting, joining, aggregations, pivots, and conditional logic.
  • Medallion architecture: Bronze, Silver, and Gold layers explained and implemented.
  • Delta Lake: Transaction log, schema enforcement and evolution, time travel, and DML operations (MERGE, UPDATE, DELETE).
  • Workflows and jobs: Passing parameters, handling failures, concurrency, conditional tasks, and monitoring.
  • Git & local development: VS Code setup, linking with GitHub, repos, and workflow best practices.
  • Functions and modularization: Creating and importing Python modules, UDFs, and project structuring.
  • Unity Catalog & governance: Metastores, securable objects, workspace roles, external locations, and permissions.
  • Streaming & Lakeflow pipelines: Structured Streaming concepts, Auto Loader, watermarking, triggers, and the new Lakeflow (DLT) pipeline model.
  • Performance: Lazy evaluation, explain plans, caching, shuffles, broadcast joins, partitioning, Z-ORDER, and Liquid Clustering.
  • Automation & CI/CD: Programmatic interaction with Databricks, CLI demo, and high-level CI/CD overview.
By the end of the course, you’ll have both the knowledge and confidence to design, build, and optimise production-grade data pipelines on Databricks.

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Expert Review

Is the Azure Databricks and Spark SQL (Python) Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 19, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Azure Databricks and Spark SQL (Python) is a high-value resource for learners seeking to build skills inDevelopment. Taught by Malvik Vaghadia on Udemy, the 17h 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 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 30,386 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 and Spark SQL (Python):

  • The depth of Development 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
✓
Rating

Course Rating Summary

Azure Databricks and Spark SQL (Python) has earned an aggregate rating of 4.7 out of 5 from 30,386 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

4.7
★★★★★
30,386 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

About the Instructor — Malvik Vaghadia

Azure Databricks and Spark SQL (Python) is taught by Malvik Vaghadia, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Malvik Vaghadia
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.
FAQ

Frequently Asked Questions

The following questions and answers cover the most common queries about Azure Databricks and Spark SQL (Python), its coupon code, pricing, and enrollment process.

Author

About the Author

AD

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
Resources

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