DP-203 Exam Dumps
DP-203 Exam Dumps They can include data copying, transformation, or execution of a data flow. Transformation Logic: Data engineers can incorporate data transformation logic using data flows, mapping data from source to destination in a visually interactive manner. Destination Dataset: The destination dataset is where the processed data is written after undergoing transformations. Understanding Activities in Azure Data Factory: Activities are fundamental building blocks within pipelines. They represent individual actions to be executed on the data, such as data movement, transformation, and data flow execution.
ADF provides a wide array of built-in activities to cater to various data engineering requirements. Additionally, custom activities can be developed to suit specific needs. Common Types of Activities: Copy Activity: This activity is utilized for data movement between source and destination datasets. It supports diverse data stores and enables seamless movement of data across the DP-203 Dumps Azure ecosystem. Data Flow Activity: Data flow activities allow data engineers to perform ETL (Extract, Transform, Load) operations using a visually interactive interface. Data flows are ideal for complex data transformations. Execute Pipeline Activity: With this activity, one pipeline can invoke or call another, enabling reusability and modularity in data engineering workflows. Stored Procedure Activity.
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