By Min Chen
This Springer short presents a entire evaluation of the history and up to date advancements of massive facts. the worth chain of massive info is split into 4 levels: facts iteration, facts acquisition, information garage and information research. for every section, the publication introduces the overall heritage, discusses technical demanding situations and experiences the most recent advances. applied sciences lower than dialogue contain cloud computing, web of items, facts facilities, Hadoop and extra. The authors additionally discover a number of consultant purposes of huge info comparable to firm administration, on-line social networks, healthcare and clinical functions, collective intelligence and clever grids. This ebook concludes with a considerate dialogue of attainable learn instructions and improvement tendencies within the box. mammoth information: comparable applied sciences, demanding situations and destiny clients is a concise but thorough exam of this fascinating sector. it's designed for researchers and execs drawn to huge facts or comparable study. Advanced-level scholars in machine technological know-how and electric engineering also will locate this ebook useful.
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Try and think a railway community that didn't payment its rolling inventory, tune, and indications each time a failure happened, or basically came across the whereabouts of its lo comotives and carriages in the course of annual inventory taking. simply think a railway that saved its trains ready simply because there have been no on hand locomotives.
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Extra info for Big Data: Related Technologies, Challenges and Future Prospects
Nodira Khoussainova, Magdalena Balazinska, and Dan Suciu. Probabilistic event extraction from rfid data. In Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on, pages 1480–1482. IEEE, 2008. 46. Katherine G Herbert and Jason TL Wang. Biological data cleaning: a case study. International Journal of Information Quality, 1(1):60–82, 2007. 47. Tsung-Han Tsai and Chung-Yuan Lin. Exploring contextual redundancy in improving objectbased video coding for video sensor networks surveillance.
Effective data co-reduction for multimedia similarity search. In Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, pages 1021–1032. ACM, 2011. 52. Jens Bleiholder and Felix Naumann. Data fusion. ACM Computing Surveys (CSUR), 41(1):1, 2008. Chapter 4 Big Data Storage Abstract In this chapter, we focus on the storage of big data. We will review important issues including massive storage systems, distributed storage systems, and big data storage mechanisms. On one hand, the storage infrastructure need to provide information storage service with reliable storage space; on the other hand, it must provide a powerful access interface for query and analysis of large amount of data.
Over the years, wireless operators have improved the service level of the mobile Internet by acquiring and analyzing such information. ” It may collect wireless data and geographical location information, and then send such information back to Apple Inc. for processing, of which the user may not be 26 3 Big Data Generation and Acquisition aware. Apart from Apple, smart phone operating systems such as Android of Google and Windows Phone of Microsoft can also collect information in the similar manner.