ETL
ETL, short for Extract, Transform, Load, is a fundamental process in data management that involves pulling data from various sources, converting it into a usable format, and storing it in a target system like a database. This method ensures data accuracy and compatibility, making it indispensable for business intelligence, analytics, and big data operations in today's digital landscape.
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ETL processes are so powerful that they enable companies like Amazon to process over 1.3 million transactions per second during peak events, transforming raw data into actionable insights that drive real-time decisions. This capability highlights how ETL has evolved from basic batch operations to handling petabyte-scale data in milliseconds.
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