Data Pipelines

A data pipeline is a series of data processing steps that involve the collection, transformation, and storage of data. It is designed to automate the movement of data from one system to another, ensuring that data flows seamlessly and is processed efficiently. Data pipelines can handle a variety of tasks, including data extraction from various sources, cleaning and formatting the data, performing transformations to prepare it for analysis, and loading it into storage systems or databases for further use. They are essential for enabling businesses and organizations to manage large volumes of data and derive insights from it in a timely manner. Data pipelines can be implemented in real-time or batch modes, depending on the needs of the application. Overall, they play a critical role in data engineering and analytics workflows, helping to ensure that accurate and relevant data is available for decision-making processes.