Azure Data Factory V2: Guide to Cloud Data Engineers(DP 200)

Azure Data Factory V2: Guide to Cloud Data Engineers(DP 200)

What you’ll learn

• Student will learn how to utilize Azure Data Factory ,a cloud based integration service to design and develop different pipelines to move data from on premise to Azure Cloud and inter cloud sources.
• One and only course on Udemy which covers best practices with respect to design performance oriented and efficient data movement pipelines and transformations using Azure Data Factory tool.
• This course covers deeply all the Control Flow Activities and Data Flow Transformations with industry specific use cases.
• DP-200 Exam Topics: Implement the integration runtime for Data Factory, Implement Copy Activity within Azure Data Factory, Create linked services and datasets, Create pipelines and activities, Implement Mapping Data Flows in Azure Data Factory, Create and schedule triggers, Monitor Data Factory pipelines
• DP-201 Exam Topics: Design batch processing solutions that use Data Factory, identify the optimal data ingestion method for a batch processing solution, identify where processing should take place, such as at the source or at the destination or in transit, identify transformation logic to be used in the Mapping Data Flow in Azure Data Factory.
• This course is packed with different assignments and hand on practical to enable students get expertise in designing different pipelines to meet day to day need of a cloud data engineer.
• Student will get exposure to industry level use cases and implementation scenarios. This course have examples to explain few data movement stories.