What is data pipelining?

Data pipelining is the process of moving data from one or more source systems to a destination system through a series of automated steps, or 'pipes'. These pipes typically involve data extraction, transformation (cleaning, enriching, aggregating), and loading (ETL). Data pipelines are commonly used for building data warehouses, data lakes, real-time analytics dashboards, and integrating data across different applications and databases.