Conclusion and future works
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© Springer International Publishing AG 2018. Recent technological advancement have emerged the data intensive tasks in wide distinctive areas such as commerce, earth science, astronomy, computational biology and others in boosting trend. Due to the various characteristics of data, it is needed to develop a new data processing architecture for data acquisition, data analysis, data mining, data transmission between service instances, data storage and others, aiming to schedule it into a series of scalable tasks with holistic, viable and modern approach.
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