What is Data Integration in ETL? Guide to Extract, Transform, Load Processes
One of the most prevalent data integration approaches is ETL (Extract, Transform, Load), which involves extracting source data from multiple locations, transforming it into the required format, and loading it into the target system. In this post, we'll look at data integration utilizing an ETL approach and its usefulness for businesses. What is Data Integration in ETL? Data integration in ETL refers to the process of combining data from various sources, transforming it into a unified format, and loading it into a target destination, typically a data warehouse or a data mart. ETL forms a critical part of the data integration process, ensuring that data is extracted from multiple sources, transformed to meet specific requirements, and loaded into the desired destination for analysis and reporting. Organizations now deal with a wide range of data sources, including on-premises applications , cloud services , social media , Internet of Thing...