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With the increasing amount of information, the percentage of processed large-scale heterogeneous data is rapidly growing. Take mobile phones as an example. Due to their various sensors, high presence among people, and cost-effectiveness, they are becoming very popular. This has made it easy to obtain users' contextual data whose collection can be valuable in engineering and business domains, e.g., transportation, location-based services, and advertisement industry. The data volume generated by mobile phones and the need to analyze the information near the real-time are the challenges facing researchers. Recently, big data has attracted much attention from academia, industry as well as government. There is a strong need for new technologies, e.g., frameworks based on cloud computing, that could not only process and analyze a large volume of data, but also ingest a large volume of data at a fast …