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- W2464288049 abstract "The data management industry has matured over the last three decades, primarily based on Relational Data Base Management Systems (RDBMS) technology. The amount of data collected and analyzed in enterprises has increased several folds in volume, variety and velocity of generation and consumption, organizations have started struggling with architectural limitations of traditional RDBMS architecture. As a result a new class of systems had to be designed and implemented, giving rise to the new phenomenon of “Big Data”. The data-driven world has the potential to improve the efficiencies of enterprises and improve the quality of our lives. There are a number of challenges that must be addressed to allow us to exploit the full potential of Big Data. This article highlights the key technical challenges of Big Data." @default.
- W2464288049 created "2016-07-22" @default.
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- W2464288049 date "2016-06-20" @default.
- W2464288049 modified "2023-09-25" @default.
- W2464288049 title "Big Data Analysis" @default.
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- W2464288049 doi "https://doi.org/10.4018/978-1-5225-0182-4.ch006" @default.
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