Rating 4.25 out of 5 (6 ratings in Udemy)
What you'll learn- Clear Azure data engineer certification DP 203
- Understand data migration using Azure
- Gain knowledge in building data engineering pipelines
- Become an Azure data engineer
DescriptionDP 203 Azure Data Engineer Exam - DP 200 & DP 201 have been merged to create the DP 203 certification. This course covers all the below topic:
- Azure Data Lake Storage
- Azure Databricks
- Azure Data Factory
- Azure Synapse Analytics
- Azure …
Rating 4.25 out of 5 (6 ratings in Udemy)
What you'll learn- Clear Azure data engineer certification DP 203
- Understand data migration using Azure
- Gain knowledge in building data engineering pipelines
- Become an Azure data engineer
DescriptionDP 203 Azure Data Engineer Exam - DP 200 & DP 201 have been merged to create the DP 203 certification. This course covers all the below topic:
- Azure Data Lake Storage
- Azure Databricks
- Azure Data Factory
- Azure Synapse Analytics
- Azure Cosmos DB
- Azure SQL
- Azure Stream Analytics
Your chances to pass the certification after completing and understanding this course is very high. Also, create a free Azure account and practice the hands-on labs to gain better understanding.
Exam Outline:
Design and develop data processing (25-30%)
Design and implement data storage (40-45%)
Design and implement data security (10-15%)
Monitor and optimize data storage and data processing (10-15%)
Through the practice tests you will learn about Azure technologies that analyze text and images and relational, nonrelational, or streaming data. See how data engineers can choose the technologies that meet their business needs and scale to meet demand securely. You will learn how data systems are evolving and how the changes affect data professionals. Explore the differences between on-premises and cloud data solutions and consider sample business cases that apply cloud technologies. You will also learn about the responsibilities of a data engineer. Find out how they relate to the jobs of other data and AI professionals. Explore common data engineering practices and a high-level architecting process for a data-engineering project.