Читать книгу Computational Statistics in Data Science - Группа авторов - Страница 98

Data streams are heterogeneous in structure, semantics, organizations, granularity, and accessibility. Different data in disparate sources, different formats, combined with the volume of data, make the integration, retrieval, and reasoning over the data stream a challenging task [33]. The challenge here is how to deal with ever‐growing data, extract, aggregate, and correlate data streams from numerous sources in real‐time. There is need to design a competent data presentation to mirror the structure, hierarchy, and diversity of data streams.