Abstract
Cloud technology can scale horizontally (scale out) through the addition of servers to handle more data and enables the analysis of large volumes of data (known as big data). This has led to innovation in the form of new services that create added value such as providing recommendations on the basis of attributes extracted from the big data. In this article, we describe technology and services implemented with large-scale data processing, the development of a large-scale distributed data processing platform, and technology fostered by the program design and system level testing/verification.
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CITATION STYLE
Washisaka, M., Nakamura, E., Takakura, T., Yoshida, S., & Tomita, S. (2011). Large-scale distributed data processing platform for analysis of big data. NTT Technical Review, 9(12). https://doi.org/10.53829/ntr201112fa3
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