Data pipeline can be described as a process or technology responsible for transferring data from one or several sources to a destination where the data can be stored, analyzed or accessed by applications. The data collection can be performed through databases, websites, cloud, API, applications and any other source of data that can go through various processing stages. When posing the question about what is a data pipeline, it is important to consider it as a defined path along which raw data passes and is prepared for further useful application within the business organization. Data pipelines can prepare data by cleaning, transforming, validating and organizing it before sending it to the destination such as a data warehouse, data lake, and analytics tool. Data pipelines allow modern businesses to manage a huge volume of data without fully relying on manual labor. In accordance with the needs of the business, the pipeline can work in real-time or batch mode.