Azure Data Engineering Learning Path (English)

Description

In the course "Azure Data Engineering" we help you to make the leap to Azure. Every week we take an important topic in the field of Cloud Data Engineering and get hands-on with it. Afterwards you know how the cloud works, how to set up an Analytics environment in Azure, and you have built up a Proof of Concept.

Audience

In this training, participants come from different backgrounds and roles:

• On-premises Data Warehouse specialists : As a BI or Data Warehouse engineer, you are well versed in classic Data Warehouses. However, you also see the finite nature of the on-premises environment, and you would like to help your organization bring the analysis environments to the cloud.
• Power BI Pros . You work with Power BI for years. But you know and see that you need other tools for bigger issues. That is why you want to take the step to Azure Data Engineering.
• Experienced developers on other cloud platforms You already have experience on another cloud platform, for example Oracle Cloud, Amazon or Google.

The following applies to every participant: your world is changing, and you want to grow. You also want to apply what you have learned, and not just leave it at theory. And we will help you with that.

Skills gained

After following this training:

• You know the concepts of Cloud Data Engineering, and you can think about the solution architecture that is required for this
• Understand the differences between design choices for "traditional" data platforms and platforms in Azure.
• Are you familiar with processes and preconditions for a successful Data Platform project, such as security and good development techniques
• Have you gained experience with modern development tools such as Git, CI/CD and Infra-as-Code
• Can you make a trade-off between various products for a data scenario with which you came to the course
• Have you put what you have learned into practice in a working Proof of Concept that you have built up during the learning process.

Prerequisites to follow the Azure Data Engineering course

In this training you need prior knowledge of the principles of Business Intelligence and Data Warehousing. For example, this experience can come from previous experience with the SQL Server stack, or from broad experience with Power BI.

Course outline

The Azure Data Engineering course consists of 5 weeks, divided into the following modules:

• Cloud Fundamentals
• Batch data processing in the cloud
• Development techniques, CI/CD and DevOps
• Python
• Security, Infrastructure and Infrastructure Code

You spend about 12 hours on this course per week

Course material

In the Azure Data Engineering course, we use material that we have developed ourselves at Wortell Smart Learning. This includes slides, assignments for during the course days, and assignments for in between. We also provide more than enough material to deepen or broaden your knowledge. We make sure that you receive all the necessary material on time.