If you are aiming for Azure Data Engineer Certification, you need to clear two exams i.e DP-200 & DP-201. This course will provide all the content you require to clear both these exams. And all the concepts are explained using practical lab sessions.
Azure Data Engineer is the most lucrative job profile and those who possess the skill sets require to become Azure Data Engineer are always in great demand and easily can get a 6 figure salary in USD as per the market trend.
But, it can be overwhelming for a beginner to start his/her journey to become a Azure Data Engineer since there are so many different technologies and services offered by Azure.
Hence below I have provided step by step guide of the skill sets require to start your Data Engineer journey and then progress gradually to become an Intermediate level or Expert Azure Data Engineer.
Beginner -> Azure SQL Database, Azure Data Factory, Azure Data Lake, Power BI
Intermediate -> Azure Synapse Analytics, Azure Cosmos DB
Expert -> Azure Databricks, Azure Stream Analytics
In this course, I have covered 100% syllabus required to clear DP-200 and DP-201 exam.
NOTE: ALL THE AZURE DATA SERVICES PRESENT IN THIS COURSE ARE FOR BEGINNERS
Following are the topics currently this course covers:
1. Basics of Cloud Computing
2. Azure SQL Database
3. Azure Data Lake Storage
4. Azure Data Factory V2
5. Implementing Real World Use Cases
6. Power BI
7. Azure Synapse Analytics
8. Azure Cosmos DB
9. Azure Stream Analytics
10. Azure Databricks
Also, all the topics in this course are explained using practical examples and lab sessions which makes it easy to understand and also practice at home for students.
I have also added a section containing “REAL WORLD USE CASES” where some common and important scenarios which you would come across in real life when you work as a Azure Data Engineer in an organization. Do not miss this section as its very important and will also help you in the interview.
All the Best and Happy Learning !!
- Students will learn Azure Stream Analytics, Azure Data Lake, Azure Data Factory, Azure Cosmos DB, Azure SQL Database, Azure Data Factory, Power BI