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2 Real World Azure Data Engineer Project End to End

Engineering Project Building from scratch including designing, architecting, implementing solution and overall testing.
(73 reviews)
392 students
Created by


CourseMarks Score®







Platform: Udemy
Video: 4h 24m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.7 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 2/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.5 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.1 / 10
Video Score: 8.2 / 10
The course includes 4h 24m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.7 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
10 resources.
0 exercise.
0 test.

Table of contents


This course will help you in preparing and mastering your Azure Data engineering Concepts.
It is not like any random project like covid, or twitter analysis. These project is real world projects on which I personally worked and developed it for big clients.
Highlights of the Course:

•Designed to keep only précised information no beating around the bush. (To save your time).
•Real time implementation, no dummy use case.
•Can be added as part of your resume.
•It will help you to showcase your experience in interviews and discussion.
•Involve complex architecture solution which is aligned with industry best practices.
•Single projects involve various component integration like ADF, ADLS, Databricks, Azure SQL DB, Key Vault.
•Solves the problem of real time experience for new Data engineers.

This course has been developed in mind to keep all the best practices followed in the Industry as an data engineering project and solution.

Technologies involved:

•Azure Data Lake Storage Gen 2
•Azure Data Factory
•Data Factory Pipeline
•Azure Functions
•Azure Key Vault
•Azure SQL DB
•AWS S3 Bucket
•Connect ADF to Databricks
•Connect Databricks to SQL Server
•Connect Databricks to ADLS
•Connect S3 to Azure Cloud
•SAS token
•Create Secrets scope in Databricks
•Store secretes in Key Vault and access them
What you will learn after this course:

•How to think, design and develop the solution in the data engineering world.
•How to create the architecture diagram for data engineering  projects.
•How to Create Azure Data Factory Account
•How to Create Azure Data Lake Storage Gen 2 account.
•How to Create Azure Databricks Workspace.
•How to create S3 storage account.
•How to create Azure Function.
•How to implement logic in the Databricks notebook using pyspark.
•How to connect ADF to Databricks.
•How to chain the multiple pieces together in project.
•How to create Azure SQL Server.
•How to load the data from file to Azure SQL server.
•How to connect Databricks notebook with Azure SQL Server.
•How to Store secrets in the Azure Key Vault.

You will learn

✓ You will learn how to Architect, Design and build a real-world enterprise level data platform solution including multiple services.
✓ You will learn design solution using ADF, Azure Function, Databricks, pyspark, Azure Data lake storage Gen 2 (ADLS), Azure SQL Server
✓ You will learn how to build a real-world data pipeline in Azure Data Factory (ADF). This course has been taught using 2 real world use case scenarios.
✓ You will learn how to transform data using Databricks Notebook Activity in Azure Data Factory (ADF) and load into Azure Data Lake Storage Gen2
✓ You will learn how to build production ready pipelines and good practices and naming standards
✓ You will learn how to integrate Databricks with ADF and send the response back from Databricks to ADF
✓ You will learn how to develop the triggered based Azure Function to validate files.
✓ You will learn how to create Azure Key vault and use it to store secret credentials and SAS token
✓ You will learn how to connect the Azure SQL Database and Databricks cluster using the Key Vault
✓ You will learn how to mount he Azure Storage Account in the Databricks to access the files and preform transformation on it.
✓ You will learn how to transform the data in the Azure Databricks using the pyspark.


• Basic understanding about cloud computing will be useful, but not necessary.
• Experience in Azure is not required, I will take you through everything necessary to learn this course and build the project

This course is for

• Aspiring Data engineer who are searching for project to add in resume
• Someone who is looking for Real World uses cases to implement as Data engineering Solution
• University students looking for a career in Data Engineering
• IT developers working on other disciplines trying to move to Data Engineering
• Data Engineers/ Data Warehouse Developers currently working on on-premises technologies, or other cloud platforms such as AWS or GCP who want to learn Azure Technologies
• Data Architects looking to gain an understanding about Azure Data Engineering stack
• Data Scientists who want extend their knowledge into data engineering

How much does the 2 Real World Azure Data Engineer Project End to End course cost? Is it worth it?

The course costs $14.99. And currently there is a 63% discount on the original price of the course, which was $39.99. So you save $25 if you enroll the course now.

Does the 2 Real World Azure Data Engineer Project End to End course have a money back guarantee or refund policy?

YES, 2 Real World Azure Data Engineer Project End to End has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the 2 Real World Azure Data Engineer Project End to End course, but there is a $25 discount from the original price ($39.99). So the current price is just $14.99.

Who is the instructor? Is Deepak Goyal a SCAM or a TRUSTED instructor?

Deepak Goyal has created 1 courses that got 73 reviews which are generally positive. Deepak Goyal has taught 392 students and received a 4.7 average review out of 73 reviews. Depending on the information available, Deepak Goyal is a TRUSTED instructor.
Microsoft Certified Trainer | Architect| Top Voice LinkedIn
Hi, I’m Deepak Goyal, a certified Big data, and Azure Cloud Solution Architect.

I have 13+ Years of experience in the IT industry and 10+ Years of experience in Big data world.

I was among the few who has worked on Hadoop Big data analytics (since the Year 2011) before the popular advancement and adoption of Public cloud providers like AWS, Microsoft Azure, or Google Cloud Platform (GCP)

I help businesses to define the data-driven architecture and make robust data platform over the cloud to scale up their business.

Writing about Microsoft Azure technologies is one of my favorite works outside the office.

I help people to understand cloud concepts and technologies like Azure Data Factory, Azure DataBricks, Apache Spark, Azure Synapse Analytics, Azure Key Vault, Encryption Decryption, Azure Blob Storage, Azure monitor, logging, Snowflake cloud data warehouse, and many more complex tools and technologies.

I am a famous Azure blogger, my blog ranks number 1 on google search for more than 100+ keywords.

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CourseMarks Score®







Platform: Udemy
Video: 4h 24m
Language: English
Next start: On Demand

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