Azure Data Engineer Master's Program

Data Engineering is a career that’s full of promise and growth. It is not a job role that is very accessible to someone without a tech background. This master’s program is designed to comprehensively cover all the knowledge areas and skills that you will need to become a Data Engineer even if you don’t have a tech background. 

We focus on both the theoretical and practical aspects of learning that are needed. You will attend trainer-led live sessions, on-demand videos that you can view at your convenience, and also a curated list of eBooks that you can refer to. You also have an extensive set of exercises, assignments, projects, and assessments designed to give you all the practical skills needed to be a Data Engineer in an Azure environment.  

Yes, this program is thorough as it covers four different Azure programs that range from learning the fundamentals of Azure cloud services and database concepts to learn how to use the entire range of Azure data services and manage data throughout every stage including design, management, monitoring, security, recovery, and privacy.  

Apart from getting trained on four valuable certifications that will prove your credentials as a skilled Data Engineer, the program also comes packed with ten complementary courses that are collectively worth $5000. These courses will let you learn SQL, Python, Apache Spark, PowerShell etc., that will significantly increase the scope of what you could do as a Data Engineer. 

There is a collection of ten courses that are collectively worth $5000 that is made available for the learners of this course. These courses are aligned with the Data Engineer profile and are designed to enhance your capabilities as a Data Engineer:

This program is built to benefit the learner in a variety of ways. The primary learning is delivered through a combination of live and interactive trainer led sessions and on-demand videos. This gives many opportunities for learners to grasp complex topics in a logical and progressive manner. It also allows the learners to get their doubts clarified or bridge gaps in their understanding. 

The program also comes loaded with recall quizzes that help in refreshing and testing the learning. There are assignments and exercises that allow you to practice these learnings to test their practical applications. You will also get to do end-to-end projects with the tools so that you become ready to apply your knowledge and skills in a real-world scenario.  

The Azure Data Engineer learning path is designed to provide you with a comprehensive understanding of Azure Data Engineering, equipping you with the skills and knowledge needed to excel in your career. With a mix of theoretical learning, practical exercises, and exam preparation, you'll be well-prepared to take on the role of an Azure Data Engineer.

The program incorporates the latest industry trends and emerging technologies. By the end of this learning path, you will have a comprehensive understanding of Azure data services and how to use them to design, implement, and manage data solutions. In particular, you will have hands-on skills to:

• Help stakeholders understand the data through exploration
  
• Build and maintain secure and compliant data processing pipelines by using different tools and techniques
• Use various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis
• Ensure that the operationalization of data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints
• Identify and troubleshoot operational and data quality issues
• Design, implement, monitor, and optimize data platforms to meet the data pipelines
  

The Azure Data Engineer Master's Program offers the flexibility and self-paced structure necessary for learners to tailor their educational journey to their unique needs and schedules. The program ensures access to a wide range of comprehensive learning resources, such as recorded lectures, self-paced videos, hands-on exercises, and industry projects.

The duration of the program is not predetermined, as it allows learners to progress at their own pace, taking into account their learning speed and personal commitment. This approach ensures that learners have the freedom to adjust their study schedule and pace according to their availability and individual learning goals. Whether learners prefer an accelerated or more extended learning experience, the program provides the flexibility needed to accommodate their preferences.

Yes, Data Engineering Master's Program offers industry-recognized certifications that validate learners' skills and knowledge in Azure Data Engineering. These are namely:

1. AZ-900 (Microsoft Azure Fundamentals): For beginners in Azure, this course will help in understanding the basics of cloud services and how those services are provided with Microsoft Azure. 
   
2. DP-900 (Microsoft Azure Data Fundamentals): This course will be helpful in learning the fundamentals of database concepts in a cloud environment, and acquiring basic skills in cloud data services, apart from building foundational knowledge of cloud data services within the Azure environment.  
   
3. AZ-104 (Microsoft Azure Administrator): This course will help you understand the organization's Azure environment, including managing subscriptions, resources, storage, and security.  
   
4. DP-203 (Data Engineering on Microsoft Azure): This is the final certification where you will learn how to design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services. 
   

There are no prerequisites for the Data Engineering Master’s program. The course is beginner friendly and anyone with an interest in Data Engineering can enroll. 

Yes, this program is beginner friendly. Anyone with an interest in Data Engineering can register for this program. The program starts from exploring the fundamental concepts and tools that are involved in cloud computing and databases.  

The gradual development of the skillset in the learner is planned so that each of the modules will build on the concepts that were learned earlier helping you to gain a solid understanding of the concepts and tools. A range of assignments, quizzes, and projects will also ensure you know the practical applications of everything you are learning. 

Our Data Engineering Master’s program is currently delivered online through a blend of live classes and self-paced on-demand videos. These sessions are also supplemented by a range of learning tools including quizzes, assignments, projects, and e-books. This format ensures that you become well-versed in the theoretical and practical aspects of Data Engineering. 

The program's cost will vary depending on the location you enroll from. They may also vary a bit depending on when you enroll. To check the accurate rate for you please visit our schedule page. 

There are two elements to the cost that you will incur for this program. One is the course fee and the second is the exam fee for the four certification exams by Microsoft. You have the option to buy exam vouchers along with the course or pay the exam fee separately.  

Yes, the program is based on Azure certifications. These are as follows:

1. AZ-900 (Microsoft Azure Fundamentals): For beginners in Azure, this course will help in understanding the basics of cloud services and how those services are provided with Microsoft Azure.
2. DP-900 (Microsoft Azure Data Fundamentals): This course will be helpful in learning the fundamentals of database concepts in a cloud environment, and acquiring basic skills in cloud data services, apart from building foundational knowledge of cloud data services within the Azure environment. 
3. AZ-104 (Microsoft Azure Administrator): This course will help you understand the organization's Azure environment, including managing subscriptions, resources, storage, and security. 
4. DP-203 (Data Engineering on Microsoft Azure): This is the final certification where you will learn how to design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services.

Yes, the program is comprehensive with a focus on all the exam domains relevant for each of the four Azure certifications. Each of the exams is divided into domains, each with its assigned weights, as shown below. The percentage next to each topic indicates the expected proportion of questions from that domain.

AZ-900: Microsoft Azure Fundamentals

• Describe Cloud Concepts (20-25%)
  
• Describe Core Azure Services (15-20%)
• Describe General Security and Network Security Features (10-15%)
• Describe Identity, Governance, Privacy, and Compliance Features (20-25%)
• Describe Azure Cost Management and Service Level Agreements (10-15%)

DP-900: Microsoft Azure Data Fundamentals

• Describe Core Data Concepts (15-20%)
  
• Describe How to Work with Relational Data on Azure (25-30%)
• Describe How to Work with Non-Relational Data on Azure (25-30%)
• Describe an Analytics Workload on Azure (25-30%)

AZ-104: Microsoft Azure Administrator

• Manage Azure Identities and Governance (15-20%)
  
• Implement and Manage Storage (10-15%)
• Deploy and Manage Azure Compute Resources (25-30%)
• Configure and Manage Virtual Networking (30-35%)
• Monitor and Back up Azure Resources (10-15%)

DP-203: Data Engineering on Microsoft Azure

• Design and Implement Data Storage (40-45%)
  
• Design and Develop Data Processing (25-30%)
• Design and Implement Data Security (10-15%)
• Monitor and Optimize Data Storage and Data Processing (10-15%)
• Design and Implement for Disaster Recovery (5-10%)

Here is an overview of the four Azure certification exam formats:

1) AZ-900: Microsoft Azure Fundamentals 

• Number of Questions: 40-60 questions 
• Exam Duration: 85 minutes 
• Exam Format: Multiple choice and multiple response questions 
• Passing Score: 700 out of 1000 
• Exam Fee: $99 USD 

2) DP-900: Microsoft Azure Data Fundamentals 

• Number of Questions: 40-60 questions 
• Exam Duration: 85 minutes 
• Exam Format: Multiple choice and multiple response questions 
• Passing Score: 700 out of 1000 
• Exam Fee: $99 USD 

3) AZ-104: Microsoft Azure Administrator 

• Number of Questions: 40-60 questions 
• Exam Duration: 180 minutes 
• Exam Format: Multiple choice and multiple response questions 
• Passing Score: 700 out of 1000 
• Exam Fee: $165 USD 

4) DP-203: Data Engineering on Microsoft Azure 

• Number of Questions: 40-60 questions 
• Exam Duration: 180 minutes 
• Exam Format: Multiple choice and multiple response questions 
• Passing Score: 700 out of 1000 
• Exam Fee: $165 USD

Completing the Master's Program in Azure Data Engineering opens up a range of exciting career opportunities. With the growing demand for skilled professionals in the field, you can pursue various job roles, including:

1. Azure Data Engineer: As an Azure Data Engineer, you'll be responsible for designing, building, and maintaining scalable data solutions on the Azure platform. Your role will involve data integration, data transformation, data storage, and ensuring data quality and governance.
   
2. Data Architect: Data Architects focus on designing and managing the overall data architecture for organizations. With your expertise in Azure Data Engineering, you'll play a crucial role in developing data strategies, designing data models, and ensuring the effective integration of data systems.
   
3. Big Data Engineer: In this role, you'll work with large-scale data processing frameworks and technologies. Leveraging your knowledge of Azure Data Engineering, you'll design and implement efficient big data solutions, optimize data pipelines, and handle complex data processing tasks.
   
4. Cloud Data Engineer: Cloud Data Engineers specialize in building and managing data solutions in cloud environments. With your mastery of Azure Data Engineering, you'll be well-equipped to develop and deploy scalable and secure data solutions on the Azure cloud platform.
   
5. Data Science Engineer: As a Data Science Engineer, you'll collaborate with Data Scientists and Machine Learning Engineers to implement data-driven solutions. Your role will involve building data pipelines, deploying machine learning models, and ensuring the efficient processing of data for advanced analytics.
   
6. Data Consultant: With your expertise in Azure Data Engineering, you can work as a consultant, helping organizations architect and optimize their data infrastructure, implement data management best practices, and drive data-driven decision-making.

These are just a few examples of the diverse career paths available to Azure Data Engineering graduates. The demand for skilled professionals in this field is growing rapidly, and with a master's program in Azure Data Engineering, you'll be well-positioned to pursue rewarding and impactful roles in data engineering, analytics, and cloud computing domains.

Several top companies across various industries are actively hiring professionals with a master's program in Data Engineering. Here are some notable companies known for their focus on data and technology: 

1. Microsoft: As the creator of Azure, Microsoft itself offers ample opportunities for Azure Data Engineering professionals to work on cutting-edge projects within the company.
2. Amazon: With its AWS platform and a strong emphasis on data-driven decision-making, Amazon is continuously seeking skilled Data Engineers to optimize data infrastructure and drive data-driven insights.
   
3. Google: Google heavily relies on data to enhance its products and services. They hire Data Engineers to develop robust data solutions, optimize data pipelines, and extract insights from vast amounts of data.
   
4. Facebook: Facebook leverages data to provide personalized experiences to its users. They hire Data Engineers to build and maintain scalable data systems and pipelines, enabling efficient data processing and analytics.
   
5. Netflix: As a leading streaming platform, Netflix relies on data to personalize recommendations and improve user experiences. They hire Data Engineers to develop scalable data solutions and optimize data processing pipelines.
   
6. Uber: Uber's operations generate large amounts of data that require efficient management and analysis. They hire Data Engineers to design data infrastructure, optimize data pipelines, and support data-driven decision-making.
   
7. Airbnb: Airbnb utilizes data to enhance its accommodation marketplace and deliver personalized experiences to users. They hire Data Engineers to build data pipelines, implement data quality processes, and enable data analytics.
   
8. LinkedIn: LinkedIn relies on data to connect professionals and deliver relevant content. They hire Data Engineers to build scalable data platforms, optimize data pipelines, and enable data-driven decision-making.

The demand for data-driven insights spans across industries, including technology, finance, healthcare, e-commerce, and more. By obtaining a master's program in Data Engineering, you position yourself for exciting career opportunities with renowned companies at the forefront of the data revolution.

A data engineer typically earns an average annual salary of $124,610. This can vary according to the location, experience, organization, and skillset among other factors. Data engineering is a discipline where professionals usually earn well even as beginners since there is a huge demand for this job and not enough skilled candidates vying for it. 

The average annual salary for a Data Engineer can start from $82,250 and go up to $188,784. 

Yes, you can pursue the Azure Data Engineering Master's Program on a part-time basis while working full-time. Our program is designed to accommodate the needs of working professionals, providing flexibility and convenience. You'll have access to online classes, self-paced learning resources, and recorded sessions that can be accessed at any time.

This allows you to balance your professional commitments while actively progressing through the program. You can study at your own pace, ensuring that you effectively manage your workload while acquiring in-demand skills and knowledge in Azure Data Engineering. We understand the importance of finding a balance between work and education, and our program is structured to support your professional growth without compromising your career.

During the Azure Data Engineering Master's Program, you will work on a variety of industry-relevant projects to apply your learning and gain practical experience from Azure Fundamentals to Azure Administration and Data Engineering on Azure, namely:

AZ-104: Microsoft Azure Administrator 

1. Implement Azure Kubernetes Service (AKS)  
2. Implement Traffic Management  
3. Implement Azure App Service, Web App  
4. Backup & Restore for Virtual Machine

DP 900 (Microsoft Azure Data Fundamentals)

1. Integrated Analytics with Azure Synapse 
2. Relational Database (Designing Schema and Tables) 
3. Develop a Database to Analyze and Visualize Hotel Booking Data 
4. Configure throughput for Azure Cosmos DB SQL API   
   

DP-203: Data Engineering on Microsoft Azure

1. Analyzing and Building Azure Services Performance Dashboard with Azure Synapse  
2. Data Movement and Transformation Orchestration with Azure Synapse Pipelines  
3. Data Copy, Exploration, and Transformation with Azure Databricks  
4. Implementing End-to-End Security for Azure Synapse Analytics  
   

AZ900 - Microsoft Azure Fundamentals

1. Accessing VM's from Azure Jump Server 
2. Enabling Peering between Two Regions 
3. Working with Load Balancer 
4. Working with Network Security Gateway (NSG)

Yes, you will also work on four assignments pertaining to each of the modules:

AZ-104: Microsoft Azure Administrator 

1. Manage Azure Active Directory Identities/Users  
   
2. VM Interconnection Between 2 Regions  
3. Manage Azure Virtual Machine (VM) 
4. Implement Azure Monitoring

DP 900 (Microsoft Azure Data Fundamentals)

1. Mini-project- Sorting and Filtering Data  
2. Working with SQL Server Data Types 
3. Mount Blob storage to Databricks and perform cleaning with PySpark. 
4. Create a New Version of the COVID-19 Power BI App
   

DP-203: Data Engineering on Microsoft Azure

1. Evaluation of Azure Storage for Efficient File Storage and Protection Mechanisms  
   
2. Leveraging Azure Services for Secure and Efficient Data Hosting  
3. Provisioning High Availability Azure SQL Database with Geo-Replication  
4. Securing Data with Azure SQL Database and Stream Processing using Event Hubs

AZ900 - Microsoft Azure Fundamentals

1. Uploading Data to Azure Blob Storage 
   
2. Working with Azure IAM Services 
3. Assigning Tags to Azure Services 
4. Creating Container Instances in Azure

With our 100% Satisfaction Guarantee policy, you are assured of the highest standards of quality. We strive diligently at KnowledgeHut to make sure that your learning experience with us is second to none. However, if for any reason your expectations are not met, we will refund the course cost in accordance with our 100% Satisfaction Guarantee policy. 

Note*: In case of refunds, it will be credited back to your account within 10-15 business days of the refund request. 

Yes, with at least 24 hours' notice and subject to availability in the desired batch, you can change your start date for this program.   

Yes, for the Azure Data Engineering Master's, we have scholarships available for students and veterans with grants that can vary up to 50% of the course fees.  

To avail of the scholarships, please contact us at support@knowledgehut.com. You will receive the forms and instructions from the team. Based on the responses and answers that we receive, our panel of experts decides on the Grant. Please note that the entire process could take about 7 to 15 days. 

Yes, group discounts are available and apply to groups as small as three (3) participants. The more participants that attend a training course, the greater the discount. By registering in groups, you can typically save up to 20% to 30% on the course fee. For more details, please check out the upcoming schedules.