A data pipeline is a series of steps or processes that are used to extract, transform, and load data from one or more sources to a destination, such as a database or data warehouse.
A data pipeline typically includes the following steps: data extraction, data transformation, data loading, and data validation.
Data pipelines are commonly used in data analytics and business intelligence to automate the process of moving data from multiple sources to a central location where it can be analyzed and used to make data-driven decisions.
Data pipelines can help organizations save time and resources by automating data management tasks and ensuring that data is available in a consistent and reliable format.
