Companies generate massive amounts of data. However, only 37% to 40% of the data is analyzed. At the same time, 97.2% of businesses invest in big data solutions since they recognize the value of data-driven decisions.
To get deeper insights, companies need to integrate and process data—whether it originates internally or from external sources.
Extract, Transform, Load (ETL) process serves exactly this purpose. But what is extract transform load?
ETL is a data integration process that extracts information from different sources, transforms it into a structured format, and loads it into a data warehouse, data lake, or another storage system. This ensures data is clean, consistent, and ready for analysis.
It has been proven that data-driven organizations see measurable advantages. They are 23 times more likely to acquire new customers and 19 times more likely to be profitable. A well-designed ETL pipeline helps turn raw data into a strategic asset.
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