This is where data transformation with ETL (Extract, Transform, Load) comes in. This data can be transformed into a useful format and integrated into a single repository, such as a data warehouse, to enable data-driven decision-making. However, the data collected is often incomplete, inconsistent, and spread across different data sources.
Today, businesses and organizations generate and collect massive amounts of data from a variety of sources, including social media, IoT devices, and legacy systems.