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ETL (Extract, Transform and Load) pipeline process is an automated development. It takes raw data files from multiple sources, extracts information useful for analysis, transforms it into file formats that can serve business analytics or statistical research needs, and loads it into a targeted data repository. ETL pipelines are designed to optimize and streamline data collection from more than a  source and reduce the time used to analyze data. They are also designed to convert these data into useful formats before transferring them to a targeted system for maximal utilization. Regardless of the efficiencies ETL pipelines offer, the whole purpose is lost if they cannot be built quickly and subtly. This article gives a quick guide on the necessary steps needed to build an ETL pipeline process . Building an ETL Pipeline Process When you build an ETL pipeline , the process must be in the ETL order, i.e. Extraction is the act of extracting data from a data pool, such as an open-s