Azure Databricks & Spark For Data Engineers: Hands-on Project
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Overview of Azure Databricks & Spark For Data Engineers: Hands-on Project Course on Udemy
Master Data Engineering with the “Azure Databricks & Spark For Data Engineers: Hands-on Project” course on Udemy, a comprehensive program centered on building a real-world data pipeline using Azure Databricks and Spark Core. Led by expert instructor Ramesh Retnasamy, this course leverages Formula 1 racing data to teach professional-level skills in PySpark, Spark SQL, Delta Lake, Unity Catalog, and Azure Data Factory (ADF). Designed for aspiring data engineers and professionals preparing for the Azure Data Engineer Associate Certification (DP-203), it offers hands-on experience in creating scalable data solutions. With a focus on practical implementation, you’ll learn to ingest, transform, and analyze data while integrating with Power BI for reporting.
The course includes 20 hours of on-demand video, 6 articles, and 21 downloadable resources, ensuring a robust learning experience with lifetime access. Enroll today with udemy coupon codes JUN2025 (valid until June 30, 2025—check the offer box below for the discount link!)
What to Expect from the Azure Databricks & Spark For Data Engineers: Hands-on Project Course
This 20-hour course delivers a fast-paced, project-based learning experience tailored for intermediate learners with basic Python and cloud knowledge. Ramesh Retnasamy’s teaching style is engaging and practical, combining technical concepts with step-by-step implementation of a Formula 1 data project. Aimed at university students, IT developers transitioning to data engineering, and DP-203 certification candidates, it emphasizes real-world applications like building notebooks, dashboards, and pipelines.
Key features include hands-on labs with PySpark and Spark SQL, real-world scenarios using Formula 1 data, and integration with Azure Data Factory and Power BI. Hosted on Udemy’s flexible platform, you can learn at your own pace, access content on mobile or TV, and benefit from lifetime updates and detailed downloadable notebooks.
What You Will Learn in Azure Databricks & Spark For Data Engineers: Hands-on Project
- Build a real-world data pipeline in Azure Databricks using PySpark and Spark SQL with Formula 1 racing data.
- Create and manage notebooks, dashboards, clusters, and jobs in Azure Databricks.
- Ingest and transform data using PySpark, including CSV and JSON files, into Delta Lake tables.
- Analyze data with Spark SQL, applying transformations like joins, aggregations, and window functions.
- Implement a Lakehouse architecture using Delta Lake and understand Data Lake architecture.
- Create and schedule Azure Data Factory pipelines to execute Databricks notebooks and monitor workflows.
Why Choose This Azure Databricks & Spark For Data Engineers: Hands-on Project Course on Udemy
This course stands out due to Ramesh Retnasamy’s extensive experience, including his tenure at Microsoft, ensuring industry-relevant instruction. The project-based approach using Formula 1 data makes learning engaging and practical, while recent updates (e.g., Unity Catalog sections) keep content current with Databricks’ latest features. With 20 hours of video, 6 articles, and 21 downloadable resources, it offers exceptional value for mastering Azure Databricks and preparing for DP-203 or Databricks certifications. The course’s focus on production-ready skills, like CI/CD and data governance with Unity Catalog, equips you for real-world data engineering roles.
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Recommended Courses with Data Engineering Focus
Looking to expand your skills? Check out these related courses:
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- Azure Data Factory For Data Engineers – Project on Covid19 – A project-based course by Ramesh Retnasamy, focusing on ADF with COVID-19 data for DP-203 prep.
- Databricks Certified Data Engineer Associate – Preparation – A hands-on course for mastering PySpark and Spark SQL for Databricks certification.
- Master Azure Databricks – A comprehensive program covering PySpark, Delta Lake, and Databricks SQL with a capstone project.
Our Review of Azure Databricks & Spark For Data Engineers: Hands-on Project Course
As website admins, we find this course exceptionally well-designed, blending real-world application with technical depth. Ramesh Retnasamy’s clear, jargon-free instruction and industry expertise make complex topics like Delta Lake and Unity Catalog accessible. The Formula 1 project is a highlight, offering practical experience in building scalable pipelines, though it assumes some Python and Azure familiarity, which may require prep for beginners. The 21 downloadable resources and 6 articles enhance its practicality, making it ideal for DP-203 aspirants and data engineers.
Pros:
- Engaging, real-world project using Formula 1 data ensures job-ready skills.
- Expert instruction from a seasoned professional with Microsoft experience.
- Comprehensive resources and recent updates, including Unity Catalog, add value.
Cons:
- Assumes basic Python and Azure knowledge, which may challenge novices.
- Heavy focus on Databricks may limit coverage of other Azure services.
With udemy courses coupon JUN2025, it’s a steal!
Rating the Azure Databricks & Spark For Data Engineers: Hands-on Project Course
Overall Rating: 9.6/10
- Content: 9.6/10 – Comprehensive, project-driven curriculum with strong DP-203 alignment and real-world focus.
- Delivery: 9/10 – Clear, engaging instruction with hands-on labs, though fast-paced for beginners.
- Value: 9.6/10 – Affordable with udemy discounts coupon JUN2025.
Launch your data engineering career with this practical, industry-focused course—enroll now and master Azure Databricks
