What are the the motivates of using big data processing: data quality in use cas

Question

What are the the motivates of using big data processing: data quality in use case of Data Set of an online shop, Also, clarify the limitations of data quality, and data analytics. And what are the solutions via using life cycle, methodology, tools, techniques, approach.

References:

[1] Immonen, Anne, Paakonen, Pekka, et Ovaska, Eila. “ Evaluating the quality of social media data in big data architecture”. IEEE Access, 2015, vol. 3, p. 2028-2043.

[2] Taleb, Ikbal, Dssouli, Rachida, et Serhani, Mohamed Adel. “Big data pre-processing: A quality framework”. In: Big Data (BigData Congress), 2015 IEEE International Congress on. IEEE, 2015. p. 191-198.

[3] Barna Saha, Divesh Srivastava, "Data Quality: The other Face of Big Data", ICDE Conference 2014, 978-1-4799-2555-1/14/$31.00 © 2014 IEEE.

Explanation / Answer

MOTIVATION:
Now a days Big Data is increasing daya by day. Global Pulse which is a lab that is based on the
data mining is also using the Big data. In this competitive business world the various aspects are intermingled. In all organizations, this complexity becomes difficult for business
leaders to rely solely to make decisions. All pre existing tools don’t lend themselves to sophisticated data analysis.Even SAS, Matlab support the decisive analysis but they are not for the massive datasets. To overcome this requirement the Big Data is introduces. Big Data provides a new way to analyze data effectively.Suppose, Health care organizations using big data technology to get information about a patient to care coordination and health management.Now a days Big data becomes the main key for forecasting and scheduling of assets.

Some limitations of data quality, and data analytics:

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