Get Azure Databricks & Spark For Data Engineers:Hands-on Project with 90% OFF Udemy Coupon
Real World Project on Formula1 Racing using Databricks, PySpark, Spark SQL, Delta Lake, Unity Catalog,Azure Data Factory.
Key Takeaways — Course Overview
The following summarizes all verified data points for Azure Databricks & Spark For Data Engineers:Hands-on Project, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CoursesWyn on .
Course Title: Azure Databricks & Spark For Data Engineers:Hands-on Project
Platform: Udemy (listed via CoursesWyn)
Instructor: Ramesh Retnasamy
Coupon Verified:
Difficulty Level: All Levels
Category: IT & Software
Subcategory: Databricks
Duration: 20h 30m of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
Top Learning Outcomes: Students who complete Azure Databricks & Spark For Data Engineers:Hands-on Project will be able to: 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
Prerequisites: All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey
Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).
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What You'll Learn
Completing Azure Databricks & Spark For Data Engineers:Hands-on Project gives you the following verified skills and competencies in IT & Software:
- 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.
Requirements
The following background knowledge and tools are recommended before starting Azure Databricks & Spark For Data Engineers:Hands-on Project. Students without these prerequisites may still enroll but should expect a steeper learning curve.
- 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. It covers the curriculum structure, teaching methodology, and topic scope for this IT & Software course.
- 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 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
- 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
- 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.
- 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 This Course Worth It?
Expert review by Andrew Derek, Lead Course Reviewer at CoursesWyn. Last updated: .
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 in IT & Software. Taught by Ramesh Retnasamy on Udemy, the 20h 30m course provides a structured progression from foundational concepts to advanced Databricks 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)
The following advantages were identified:
- Verified 90% price reduction makes this course accessible on any budget.
- Aggregate student rating of 4.6 out of 5 indicates high satisfaction.
- Includes an official Udemy completion certificate and lifetime access.
Keep in Mind (Cons)
The following limitations should be considered:
- The depth of Databricks coverage may be challenging for newcomers.
- Lifetime access is contingent on the Udemy platform's operation.
- Hands-on projects require additional time beyond video watch time.
"Given the 90% price reduction and verified 4.6-star rating, Azure Databricks & Spark For Data Engineers:Hands-on Project represents one of the strongest value propositions currently available in IT & Software. Enrollment is recommended while this coupon remains active."
Course Rating Summary
Azure Databricks & Spark For Data Engineers:Hands-on Project holds an aggregate rating of 4.6 out of 5 based on 157,900 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.
4.6
157,900 Verified Ratings
* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: .
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.
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Instructor Name: Ramesh Retnasamy
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Subject Area: IT & Software
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Teaching Approach: Practical, project-based instruction focused on real-world application of Databricks skills.
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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. All answers are based on verified data from Udemy as of .
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Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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