Framework for building a big data platform for publishing industry

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作者
University of Vaasa, Wolffintie 34, Vaasa [1 ]
65200, Finland
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718.1 Telephone Systems and Equipment - 723.2 Data Processing and Image Processing - 723.3 Database Systems - 903.2 Information Dissemination;
D O I
10.1007/978-3-319-21009-4_29
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摘要
The word Big Data is commonly used and it is not new today. Large, medium and small companies are starting to use Big Data to obtain their customers insight in order to serve them in a better way. The use of Big Data has become quite a crucial way for businesses to compete with their competitors. Also not only companies gain from the value of Big Data, it is also the customer’s hugely benefit from its usage. In association with Big Data’s real time information, which is one of the most heavily used application of personal and location data. As there is a significant growth in the use of smart phones and the use of GPS services from the phones and other devices, the use of smart traffic routing will definitely grow and in turn it will hugely benefit the customers. Big Data is not a single packaged technology, it is in general a platform consists of usage of various components to achieve a common goal. There are plenty of components available in the market for the businesses to customise their Big Data platform. The utilization of Big Data is becoming more and more essential to businesses and it is even more important for them to adopt the right Big Data platform to accomplish their goals. The main aim of this study is to propose a framework for building a Big Data platform for publishing industry. The proposed framework was validated in an UK based news publishing organisation to find out the suitability and adoptability of the framework for their Big Data platform. © Springer International Publishing Switzerland 2015
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