Proper loading of data is essential as the BI tools work on the information to produce necessary reports and insights for users and business stakeholders. The third phase of the ETL process is loading, which translates to saving the transformed information into a data warehouse. Some transformation techniques include data sorting, cleaning, deleting, and verifying procedures. It means transforming the extracted information into a format understandable by the users, data warehouses, or Business Intelligence (BI). The second phase of the ETL process is transformation. With only a few clicks using ETL tools, you can withdraw necessary details from the collected data. ETL is a three-phase process: ExtractionĮxtraction refers to unifying structured and unstructured data to draw important, business-critical information from them. It is a process that businesses use to gain critical and actionable insights from data collected from various sources, including social media platforms, emails, and customer support tools.
3 Open Source ETL Tools Comparison Criteria.
