Hadoop was designed to handle petabytes and exabytes of data distributed over multiple nodes in parallel.
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Q1: In most cases, Hadoop is used to
Q6: Despite their potential, many current NoSQL tools
Q7: The term "Big Data" is relative as
Q10: In the opening vignette,the Access Telecom (AT),built
Q11: MapReduce can be easily understood by skilled
Q12: Current total storage capacity lags behind the
Q14: For low latency, interactive reports, a data
Q15: It is important for Big Data and
Q16: The quality and objectivity of information disseminated
Q20: Big Data uses commodity hardware, which is
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