![]() Transforming the extracted data through cleansing, normalization, and conversion to fit business needs.ĮTL platforms for processing and transforming data (Talend, Informatica, Hadoop, Apache Hive, PySpark). It is what drives business decisions, identifies new opportunities, and spots potential issues before they become real problems.Įxtracting data from various source systems: databases, CRM systems, and flat files.ĭata extraction tools (Apache NiFi, AWS Glue, PostgreSQL). ETL ensures that the data in the warehouse process is of high quality and ready for analysis. Without ETL, warehousing would be like trying to fill a library with books thrown in from every which way. It’s a library where every book is meticulously organized. It is a storage unit and a highly optimized system designed to make data retrieval effective.
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