Big Data: Big data is enormously large sets that may be analyzed computationally to expose trends, association and patterns particularly relating to human interactions and behavior. Big data challenges include data storage, search, transfer, data analysis, querying, sharing, information privacy, data source, visualization and updating. Due to the technology evolution happened in the last 50 years, big data came into fruition. There was a transformation in the data landscape due to the revolutionary technological advances in software, hardware, storage, networking, and computing models which made new opportunities for data collection.

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Chapter 6, Problem 14CSQ

Program Plan Intro

Big Data:

Big data is enormously large sets that may be analyzed computationally to expose trends, association and patterns particularly relating to human interactions and behavior.

Big data challenges include data storage, search, transfer, data analysis, querying, sharing, information privacy, data source, visualization and updating.

Due to the technology evolution happened in the last 50 years, big data came into fruition.

There was a transformation in the data landscape due to the revolutionary technological advances in software, hardware, storage, networking, and computing models which made new opportunities for data collection.

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