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  Photo by Hyundai Motor Group ETL System and Tools: ETL (Extract, Transform, Load) systems are essential for data integration and analytics workflows. They facilitate the extraction of data from various sources, transformation of the data into a usable format, and loading it into a target system, such as a data warehouse or data lake. Here's a breakdown: 1. Extract: This phase involves retrieving data from different sources, including databases, files, APIs, web services, etc. The data is typically extracted in its raw form. 2. Transform: In this phase, the extracted data undergoes cleansing, filtering, restructuring, and other transformations to prepare it for analysis or storage. This step ensures data quality and consistency. 3. Load: Finally, the transformed data is loaded into the target destination, such as a data warehouse, data mart, or data lake. This enables querying, reporting, and analysis of the data. ETL Tools: There are numerous ETL tools available, both open-source...