Azure Data Engineer Training

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Leverage the growing demand for Certified Azure Data Engineer Professionals
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Azure Data Engineer Training
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Course Features

100% Money back guarantee
Two Real-time Use cases

Real-time Use cases

24/7 Lifetime Support

24/7 Lifetime Support

Certification Assistance

Certification Based Curriculum

Flexible Schedule

Flexible Schedules

One-on-onedoubtclearing

One-on-one doubt clearing

Careerpathguidance

Career path guidance

About Azure Data Engineer Course

Azure Data Engineer certification training offered by MindMajix helps us integrate, merge, and transform the data from different unstructured and structured sources into a structured one utilized for building analytics solutions. In this Azure Data Engineer course, trainees will learn to develop, support, and implement Microsoft BI solutions to satisfy client and market requirements. With our real-world projects and industry scenarios, you can get expertise in constructing solutions to ETL tools, Data warehouses, Data APIs, Database Systems, and Machine Learning. Join our Azure Data Engineer online training to accelerate your career.

Azure Data Engineer Training
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Course Coverage

Prepare for a career in Azure Data Engineer

Learn & practice Azure Data Engineer Concepts

Demonstrate your proficiency in use cases & Lab Assignments
Learn & practice Azure Data Engineer Concepts

Course Completion Certificate

Earn an employer-recognized Course Completion certificate by Mindmajix.

Resume & LinkedIn Profile

Build your portfolio with personalized suggestions.

Mock Interview

Experience real-time interviews with Mindmajix SMEs

Qualify for in-demand job titles

Career support

Plan your career move with Mindmajix's job search.

Work Support

Get assistance in completing project tasks once you are employed.
Learn & practice Azure Data Engineer Concepts

Azure Data Engineer Course Content

Our Azure Data Engineer training is designed by experts with more than a decade of experience in Cloud Environment and Data Engineering. This Azure Data Engineering course will equip you with the skill set to perform Big Data Engineering on Microsoft Cloud Services. Explore the below Azure Data Engineering course modules:Read more
Topic-wise Content Distribution

Module1: Overview of Microsoft Azure

  • Define Cloud Computing
  • Services Offered by Microsoft Azure
  • Benefits of Cloud Computing
  • Different kinds of cloud deployments
  • Different kinds of cloud services
  • Differences between AWS and Microsoft Azure
  • Create Azure Account
  • Azure Services & Architecture
  • Create Resource Groups and Resources in the Microsoft Azure
  • Create Virtual Machine
  • Azure Class Deployment vs. Azure Resource Manager

Module2: Storage Accounts

  • Blob Storage
  • Queues and Files
  • Security in Storage Account
  • Tables
  • Share Access Signatures
  • Access Keys

Module3: Azure SQL Database

  • What is Azure SQL
  • Different kinds of Deployments in Azure
  • Azure SQL Managed Instance
  • Azure SQL in Virtual Machine
  • Creating Azure SQL Server
  • Creating Database in Azure SQL Server
  • Elastic Pool in the Azure SQL Database
  • Different types of Pricing Tiers in the Azure SQL
  • Querying Azure SQL Server from the on-site SSMS and Cloud
  • Querying Data from the Azure Blob files into the SQL through PolyBase
  • Polybase in Azure SQL
  • External Tables
  • Restrictions compared on-site to Cloud SQL Server
  • Loading Data from On-site to the Cloud SQL Server
  • Loading Data from On-site to the Cloud SQL Server using Azure Data Factory
  • Migration of the available data from the on-site to the Azure SQL

Module4: Azure Data Warehouse

  • Compare SQL Database and Azure Data Warehouse
  • Creating Azure Data Warehouse
  • Cross Query Data in the Data Warehouse
  • Polybase
  • Querying Azure SQL Data Warehouse from the on-site SSMS and Cloud
  • Loading Data to the Azure Data Warehouse through the data factory from the Azure SQL
  • Loading Data from on-site to Cloud SQL DW through data factory

Module5: Azure Data Factory

  • Differentiate Azure Data Factory and SSIS
  • Data Sets
  • Linked Services
  • Variables vs. Parameters
  • Pipelines
  • Copy Data
  • Author and Deploy
  • Managing Monitor
  • Different types of integration runtimes
  • Creating Pipelines from the templates
  • Configuring different integration Runtimes
  • Azure Bell Hosted Integration Runtime
  • Azure and SSIS Integration Runtime

Move & Transform

  • Copying Data
  • General Activities
  • Append Variable
  • Executing Pipeline and SSIS Packages
  • Getting Metadata
  • Stored Procedure
  • Delete
  • Set Variable
  • Until
  • Wait

 Iteration & Conditionals

  • For Each
  • If Condition
  • Until
  • Filter

Incremental Loading in the Azure Data Factory using Blob storage to the SQL Implementing Slowly Changing Dimensions

  • Lookup
  • Source
  • Alter Row
  • Derived Column
  • Sink
  • Conditional Split
  • ARM Templates used for Deployment
  • Deploy Data Factory Pipelines in the Development, Testing, and Production Environments
  • Code Repository and Version Control in Git Hub
  • Monitoring and Debugging Pipelines
  • Logging Error and Error Handling Records
  • Shift and Lif Packages into the Azure Data Factory

Module6: Logic Apps

  • Getting Started with the Logic Apps
  • Creating Workflows through Logic Apps in Azure
  • Sending Mail Logic App in Azure Data Factory

Module7: Azure Analysis Services

  • Tabular Model of Azure Analysis Services
  • Creating Azure Analysis Service Tabular Model Project
  • Workspace Database
  • Import Data
  • Direct Query Mode
  • Relationships
  • Tables & Columns
  • Measures
  • Calculations
  • Hierarchies
  • Partitions
  • KPIs
  • Translations
  • Perspectives
  • Roles
  • Deployment and Migration of Tabular Project
  • Installing on-site gateway

Module8: Azure Data Lake

  • Data Lake vs. Blob Storage
  • Define Azure Data Lake
  • Data Lake Gen 1 vs Gen 2
  • Storing Data into Data Lake
  • Querying Data from Data Lake to the SQL Server
  • Azure Data Lake U-SQL Batch Job
  • Data Lake Analytics
  • Scheduling Data Lake Analytics Jobs using Azure Data Factory
  • Azure Blob to the Data Lake Gen 2 using Azure Data Factory
  • HD-Insight

U SQL

  • Overview of U SQL
  • SQL vs U SQL
  • Running U SQL Scripts
  • Out putters and Extractors
  • Extracting Data from Data Lake Gen 1
  • Querying TSV Files
  • Creating Databases and Tables
  • Creating Rowsets
  • Populate Tables
  • Defining the Parameters
  • Performing Aggregation and Grouping
  • Conditionally Counting
  • Filtering Aggregated Rows
  • Aggregate Functions
  • U - SQL Catalog
  • Creating Tables, Views, Stored Procedures, and Functions
  • Creating Table-valued Functions(TVFs)

Module9: Azure Data Bricks

  • Introduction Data Bricks
  • Creating Data Bricks Free Account
  • Workspace in Data Bricks
  • Different types of Cluster in Azure Data Bricks
  • Spark Basics
  • Note Books
  • Mounting Data to the Data Bricks using Scala
  • Reading Data from Blob Storage and Writing into Azure SQL
  • Reading Data from Data Lake and Writing into Azure SQL
  • Working with Scala and Python
  • Explore, Clean, Analyze, Load, and Transform the Data Bricks using SQL and Python
  • Python vs SQL vs Scala
  • Configure the Azure Data Bricks
  • Schedule and Run Notebooks in Azure Data Factory

Module10: Azure Cosmos DB

  • Getting Started with Azure Cosmos DB
  • Azure Cosmos DB Features
  • Different types of Consistency Levels in Cosmos DB
  • Cosmos DB - Multi Model 5 APIs
  • Creating Azure Cosmos DB
  • Creating Databases and Collections
  • Adding an Item to the Collection
  • Reading Selected Data from the Collection
  • Creating and Invoking a Stored Procedure
  • Updating and Querying Data from the Collection
  • Creating Indexing at Collection
  • Level Security of Cosmos DB

Module11: Security

  • Shared Access Signature
  • Access Keys
  • Azure Active Directory
  • Registering App in Azure Active Directory
  • Role-Based Access Control
free

Add-ons

Most of the Azure Data Engineer Jobs in the industry expect the following add-on skills. Hence, we offer these skills-set as FREE Courses (Basics) to ease your learning process and help you stay ahead of the competition.

Agile & Scrum

Hands-on Azure Data Engineer Projects & Assignments

Our Azure Data Engineer Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

  1. Use Case #1: Data Foundation with Real-Time Application Data

  2. Use Case #2: Data Engineering with Unstructured Data

  3. Use Case #3: IoT Pipeline with Sensor Data

  4. Use Case #4: ETL Pipeline Workflow

  5. Use Case #5: Data Pipeline Automation

logoTraining Options

Choose your own comfortable learning experience.

Best Value

On-Demand Training

30 hrs of Self-Paced Videos

  • 30 hours of Azure Data Engineer Training videos
  • Curated and delivered by industry experts
  • 100% practical-oriented classes
  • Includes resources/materials
  • Latest version curriculum with covered
  • Get lifetime access to the LMS
  • Learn technology at your own pace
  • 24x7 learner assistance
  • Certification guidance provided
  • Post sales support by our community
self-paced

Get Pricing

Preferred

Live Online (Instructor-Led)

30 hrs of Remote Classes in Zoom/Google meet

2025 Batches

Start - End

Time

Weekend

Mar 15 - Mar 30

07:00 PM

Weekdays

Mar 18 - Apr 02

07:00 PM

Weekend

Mar 22 - Apr 06

09:00 AM

Weekdays

Mar 25 - Apr 09

09:00 AM

Customize your schedule here

+ Includes Self-Paced
  • Live demonstration of the industry-ready skills.
  • Virtual instructor-led training (VILT) classes.
  • Real-time projects and certification guidance.
online

For Corporates

Empower your team with new skills to Enhance their performance and productivity.

Corporate Training

  • Customized course curriculum as per your team's specific needs
  • Training delivery through self-Paced videos, live Instructor-led training through online, on-premise at Mindmajix or your office facility
  • Resources such as slides, demos, exercises, and answer keys included
  • Complete guidance on obtaining certification
  • Complete practical demonstration and discussions on industry use cases
Learn MoreContact us

Served 130+ Corporates

Corporate Clients

Azure Data Engineer Certification

Shall I appear for Azure Data Engineer certification exam after completion of Azure Data Engineer course?

Our Azure Data Engineer course covers all the topics that are required to clear Azure Data Engineer certification. Trainer will share Azure Data Engineer certification guide, Azure Data Engineer certification sample questions, Azure Data Engineer certification practice questions.
MindMajix certificate
Zoom

logoOn-Job Support Service

Online Work Support for your on-job roles.

jobservice
@Learner@SME

Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:

  • Pay Per Hour
  • Pay Per Week
  • Monthly
Learn MoreContact us

One Access for Multiple Courses

Choose from our Self-Paced learning library based on trending job Roles or Career Paths at a Discounted price.

Learn more

Azure Data Engineer Training FAQs

What are the main objectives of this Azure Data Engineer training?

The main objective of Azure Data Engineer training is to train you on the Modern Enterprise Data and Analytics platform. It also enables you to design and implement data solutions that utilize Azure Data Services. Through our industry experts, comprehensive course curriculum, interactive training sessions, lab sessions, and simulation learning, you can learn cutting-edge skills.

What are the prerequisites to take this Azure Data Engineer online training?

Anyone who wants to join this Azure Data Engineer online training should have a basic understanding of ETL, SQL Server, and Data Analytics.

Who Should take this Azure Data Engineer course?

This Azure Data Engineer is suitable for ETL Developers, Business Intelligence Professionals, Data Analysts, and Graduates.

Why Should You Learn Azure Data Engineer?

Azure Data Engineering is a mechanism for transforming, integrating, and loading data from source to destination. It fetches the data from different data sources to transform it into a single data format. Azure Data Engineers work with Azure AI Services built on the Azure Cognitive Services APIs to supply end-users with different kinds of ready-made models. Leading Organizations like Mews, ViaVarejo, Awin, ADEXT, and iOLAP use Azure Data Services. As per Ziprecruiter.com, the average salary of an Azure Data Engineer in the US is around $138K per annum.

What are the essential skills covered in this Azure Data Engineer training?

In this Azure Data Engineer training, you will master the following skills:

  • Creating Azure Accounts
  • Creating Virtual Machines and Resources
  • Creating Azure SQL Server
  • Creating Databases in Azure SQL Server
  • Creating Azure Data Warehouse
  • Creating Pipelines from Templates
  • Deploying Data Factory Pipelines
  • Monitoring Pipelines
  • Creating Azure Analysis Services Tabular Model

Which Jobs will you get with this Azure Data Engineer online training?

Our Azure Data Engineer online training helps you achieve the job roles like Azure Data Engineer, Azure Data Factory Developer, Data Engineer, and ETL Developer.

I want to complete the training in a few days or a week? Is it possible?

Yes, we got custom training programs to complete the course as you need.

What are the system requirements I need to attend online training?

You need good internet connectivity with a mobile/tab/laptop/system installed with Zoom/Meet.

How can I access recorded videos of my training sessions?

You can access the recorded videos through our LMS after every session.

Do I get any discount on the course?

Yes, you get two kinds of discounts. They are group discounts and referral discounts.

  • A group discount is offered when you join as a group of three or more.
  • When you are referred by someone already enrolled for training, you receive a referral discount.

How do I get a course completion certificate?

You will get a verifiable course completion certificate once you attend all the sessions and successfully submit the assessments.

How do you help me with certification?

We provide you with all the necessary resources and guidance to get certified with the relevant software/technology vendor on your own.

Can you help me with resume preparation?

Yes, our experts help you draft the perfect resume that matches your desired job roles.

Do you offer placements after the training program?

Yes, we help you with placement assistance through mock interviews, resume building, and by forwarding your profile to our corporate clients seeking trained resources.

How does your mock interviews process work?

A mock interview is a unique program we offer to help you experience real-time interviews.
Our expert connects with you, conducts an interview, and provides you feedback and quick tips to improve your skills as needed.

Can I avail EMI option to pay the fee?

Yes, we have associated partners who allow payments through three/six easy installments.

Can I customize the course curriculum?

Yes, you can customize the course curriculum as per your requirements.

Can I rejoin the subsequent batch if I cannot continue in the current schedule?

Yes, we provide feasibility to attend the next batch for the missing sessions; however, we cannot guarantee that the same trainer and the same kind of schedule would be available.

Will you continuously update your course content as per the latest software version/release available?

We keep our course curriculum aligned with the current stable Technology / Software version releases.

We want to hire resources you have trained. Is it possible?

Yes, we can offer resources depending upon the availability.

Why is there a difference between live online and self-paced videos duration?

In the case of live online training, we consider additional interaction time between the trainer and the learners.

Can we extend the access for the pre-recorded sessions?

Yes, you can renew the access after one year with a minimal fee.

Is it possible to customize the live training (scheduling and curriculum)?

Yes, we can customize the course curriculum and schedule the sessions as per your project requirements.

Do you conduct assessments at the end of the program?

Yes, we do conduct assessments.

Can we extend the lab access beyond training completion?

Yes. On special request, we can extend lab practice sessions for the learners at an extra cost.

We need a few consulting sessions with the training after completion. Is it possible?

Yes, we can arrange consulting sessions with the trainer at an extra cost.

User Testimonials
Everyone from start-ups to large enterprises prefer Mindmajix
Rajesh

MindMajix Azure Data Engineer training is sO convenient. I can download the course curriculum and attend the training sessions on weekends. The support I received at every stage was fantastic. I would highly recommend MindMajix.

Rajesh

Rating: 5

  • Rajesh
  • Rakesh
  • Manish
  • Abhiudaya
  • Vishwas
  • Baswaraj
  • AJ
  • Jenn
  • GopalRathinam

Azure Data Engineer Training Resources

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