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Azure Databricks & Spark For Data Engineers:Hands-on Project

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Spark For Data Engineers
Udemy Coupon Code for Azure Databricks & Spark For Data Engineers:Hands-on Project. Real World Project on Formula1 Racing using Databricks, PySpark, Spark SQL, Delta Lake, Unity Catalog,Azure Data Factory

Overview of Azure Databricks & Spark For Data Engineers: Hands-on Project Course on Udemy

Dive into data engineering with the Azure Databricks & Spark For Data Engineers: Hands-on Project course on Udemy, a practical guide to mastering Azure Databricks and Spark Core through a real-world Formula 1 racing data project. Led by Ramesh Retnasamy, an experienced data engineering instructor, this course offers 20 hours of on-demand video, 6 articles, and 21 downloadable resources. You’ll build professional-level skills in data ingestion, transformation, and analysis using Azure Databricks, Delta Lake, and Azure Data Factory. Enroll today with udemy coupon 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 is designed for data engineers, developers, and IT professionals looking to master Azure Databricks and Spark for real-world data projects. Ramesh Retnasamy’s hands-on teaching style guides you through a Formula 1 racing data project, covering data ingestion, transformation, and reporting. Expect practical labs, step-by-step notebook creation, and integration with tools like Azure Data Factory and Power BI. Hosted on Udemy’s flexible platform, you can learn at your own pace, revisit lessons, and apply skills to enterprise-grade projects or Azure Data Engineer Associate (DP-203) exam prep.

What You Will Learn in Azure Databricks & Spark For Data Engineers: Hands-on Project

  • Build a real-world data engineering project using Azure Databricks and Spark Core.
  • Create and manage notebooks, dashboards, clusters, and jobs in Azure Databricks.
  • Ingest and transform data using PySpark and analyze it with Spark SQL.
  • Implement a Lakehouse architecture using Delta Lake for efficient data management.
  • Develop Azure Data Factory pipelines to orchestrate Databricks notebooks.
  • Master Unity Catalog for data governance and connect Databricks to Power BI for reporting.

Why Choose This Azure Databricks & Spark For Data Engineers: Hands-on Project Course on Udemy

Ramesh Retnasamy’s expertise and the course’s 4.7-star rating from over 109,000 students make it a top choice for data engineers. Updated in 2025 with new sections on Unity Catalog, it ensures you learn the latest Databricks features. The 20 hours of video and 21 downloadable resources, including notebooks and datasets, provide immense practical value. Ideal for those pursuing the DP-203 certification or aiming to tackle enterprise data projects, this course delivers real-world skills. Use udemy coupon JUN2025 to get at a discount (see offer box)

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Our Review of Azure Databricks & Spark For Data Engineers: Hands-on Project Course

From an admin perspective, this course is a standout for its practical, project-based approach. Ramesh Retnasamy’s clear instruction and the Formula 1 racing project make complex concepts like PySpark, Spark SQL, and Delta Lake accessible. The course’s structure, with 20 hours of content and downloadable notebooks, ensures hands-on learning that’s directly applicable to real-world scenarios. While it assumes basic Python knowledge, the comprehensive resources and updates, like Unity Catalog, add significant value. With udemy coupon JUN2025, it’s a steal

9.6Expert Score
Azure Databricks & Spark For Data Engineers: Hands-on Project

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

20 hours on-demand video
9.6
6 articles
9.6
21 downloadable resources
9.6
Access on mobile and TV
9.6
Certificate of completion
9.6

Pros:

  • Real-world Formula 1 project enhances practical data engineering skills.
  • Comprehensive resources, including 21 downloadable notebooks and datasets.
  • Regularly updated with new sections like Unity Catalog for data governance.

Cons:

  • Requires basic Python knowledge, which may challenge complete beginners.
  • Lengthy duration (20 hours) demands a significant time commitment.

Rating the Azure Databricks & Spark For Data Engineers: Hands-on Project Course

Overall Rating: 9.6/10

  • Content: 9.5/10 – In-depth, project-based learning with real-world applications and exam-relevant skills.
  • Delivery: 9.6/10 – Engaging and clear, though beginners may need prior Python experience.
  • Value: 9.6/10 – Affordable with udemy coupon JUN2025.

Enroll now to master Azure Databricks and Spark, and take your data engineering career to the next level with this top-rated course

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