DP-203 Exam Dumps source dataset represents the data

DP-203 Exam Dumps In this article, we delve into the significance of pipelines and activities in the DP-203 exam and the ethical approach to mastering them. Understanding Pipelines in Azure Data Factory: Pipelines serve as the backbone of data movement and transformation in Azure Data Factory. A pipeline is a logical grouping of activities that work in harmony to perform a specific data-related task. In essence, pipelines facilitate the movement of data from source to destination, orchestrating a series of activities to ensure a smooth and automated workflow. Core Components of a Pipeline: Source Dataset. The source dataset represents the data to be ingested into ADF for processing.

This dataset could be from various sources such as Azure Blob Storage, Azure SQL Database, or on-premises systems. Activities: Activities are individual actions or tasks performed within a pipeline. 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 DP-203 Dumps 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.

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