Pipelines for data are employed to automate the collection, transformation, processing, and transfer of data between various platforms. Companies can have several pipelines for data for various reasons, including customers' analysis, sales' reports, marketing data, IoT solutions, or business intelligence. A data pipeline can collect raw data from several sources, check and validate the data, and then transport the processed data to a warehouse, lake, or another destination. It makes the work of collecting and validating the data less repetitive and allows companies to have better access to their data when needed.