Читать книгу Computational Statistics in Data Science - Группа авторов - Страница 93

Another fundamental challenge in streaming data analysis is the issue of scalability. The rate at which data stream is growing is much faster than the resources available to the computer. While the processors keep Moore's law, the data size is experiencing exponential growth. Subsequently, research endeavors must be equipped toward creating scalable frameworks and machine learning algorithms that will adjust data stream computing mode, manage resource allocation strategy effectively, and react to parallelization issues to adapt to the high‐volume and complexity in data. While data streams provide the opportunity for machine learning algorithms to uncover useful and interesting patterns, traditional machine learning algorithms face the challenge of scalability to truly uncover the hidden value in the data stream [26].