Question 1

What is Azure Data Engineering?

Accepted Answer

Azure Data Engineering is the practice of designing, building, and maintaining scalable data pipelines and analytics solutions using Microsoft Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Microsoft Fabric.

Question 2

What are the prerequisites for the Azure Data Engineering course?

Accepted Answer

You need basic computer literacy, a fundamental understanding of databases and SQL, and a willingness to work on hands-on labs. Basic Python knowledge is helpful but not mandatory.

Question 3

Will I learn SQL and Python in this course?

Accepted Answer

Yes. The programme includes dedicated modules on SQL for Data Engineering and Python for Data Engineering, focused on the patterns used in production pipelines.

Question 4

How long is the Azure Data Engineering course?

Accepted Answer

The programme runs for 16 weeks with three live sessions per week. Weekday, weekend, and evening batches are available in online, classroom, and hybrid modes.

Question 5

What Azure services will I work on?

Accepted Answer

You will work with Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Event Hubs, Azure Key Vault, Azure Monitor, Microsoft Fabric, and OneLake.

Question 6

Does the course include real-world projects?

Accepted Answer

Yes. You will build projects such as a Retail Data Engineering Pipeline, a Customer 360 Data Platform, a Real-Time IoT Data Pipeline, and a Metadata-Driven Enterprise Pipeline.

Question 7

What is the course mode?

Accepted Answer

The master programme is delivered online. City pages also offer classroom and hybrid options where supported, with live trainers and the same hands-on labs.

Question 8

Are there any course fees?

Accepted Answer

Please contact SkilBrill for the latest fee structure and any available instalment options.

Question 9

Will I get placement support?

Accepted Answer

Yes. Eligible learners receive resume assistance, LinkedIn and GitHub guidance, mock interviews, technical interview preparation, and placement assistance.

Question 10

Does the course prepare me for Azure certifications?

Accepted Answer

The curriculum is aligned with Azure data engineering concepts and helps you prepare for interviews and certification exams such as DP-203, but certification exam costs are not included.

Question 11

What career opportunities can I pursue after this course?

Accepted Answer

Graduates can apply for roles such as Azure Data Engineer, Data Engineer, Cloud Data Engineer, Data Platform Engineer, ETL Developer, Analytics Engineer, BI Developer, and Data Architect.

Question 12

How is this different from Data Science or Data Analytics?

Accepted Answer

Data Engineering focuses on building reliable data pipelines, storage, and processing infrastructure. Data Science focuses on modeling and prediction, while Data Analytics focuses on insights and reporting.