A data pipeline is a series of processes that extract data from various sources, transform it into a suitable format, and load it into a destination system (like a data warehouse or data lake) where it can be used for analysis and modeling. The main goal is to ensure reliable, clean, and organized data flow for effective data modeling and decision-making.
What is the primary purpose of data pipeline in data modeling?
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