Description: Heterogeneous data integration refers to the process of combining data from different sources that have different formats. This process is fundamental in today’s context, where organizations handle large volumes of information from various platforms, such as databases, text files, spreadsheets, and cloud services. Heterogeneous data integration allows companies to obtain a unified view of their information, facilitating informed decision-making and improving operational efficiency. The main characteristics of this process include the ability to handle different types of data, such as structured, semi-structured, and unstructured data, as well as the need to apply data transformation and cleaning techniques to ensure the quality and consistency of the integrated information. The relevance of heterogeneous data integration lies in its ability to support advanced analytics, business intelligence, and the creation of reports that reflect a more complete and accurate reality of the organization. In a world where information is a critical asset, effective heterogeneous data integration becomes an essential component for business success and innovation.
