Description: Entity resolution is the process of identifying and merging duplicate records within large datasets. This process is crucial in the realm of Big Data, where data quality can be compromised by redundancy and inconsistency. Entity resolution involves comparison and analysis techniques that determine whether different records refer to the same entity, such as a person, product, or organization. By utilizing matching algorithms and machine learning, organizations can efficiently process large volumes of data, facilitating the identification of duplicates and the consolidation of information. This not only improves data quality but also optimizes the performance of applications that rely on accurate and unique information. Therefore, entity resolution is an essential component of data management, enabling organizations to make more informed decisions based on reliable data.
