Explain the Key Components of a Data Pipeline.

The Data Sources can be a variety of systems, such as databases, APIs, and flat files. The data pipelines must extract the data from these sources and bring it into the pipeline.

The Data Transformation component is responsible for transforming the raw data into a usable format. This process may involve cleaning, transforming data types, and aggregating data.

The Data loading component is responsible for loading the transformed data into a target system, such as a data lake or a data warehouse.

The monitoring and alerting component is responsible for monitoring the pipeline for errors and sending alerts if necessary. This component helps ensure that the pipeline runs smoothly and any issues are addressed promptly.

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