Heterogeneous data refers to data that is diverse in terms of its structure and format, making it difficult to analyze and integrate. This type of data may include text, images, audio, video, and sensor data, among others. Researchers in the field of heterogeneous data work to develop methods and algorithms to effectively manage and analyze diverse data sources, in order to extract meaningful insights and knowledge. This research area is important in fields such as data mining, machine learning, and artificial intelligence, where the ability to process and make sense of different types of data is crucial for making informed decisions and predictions.