Real-time data warehousing can be used to support the highest level of decision making sophistication and power. The major feature that enables this in relation to handling the data is nature of the data. country of (data) origin. speed of data transfer. source of the data. Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is the processing power needed for the centralized model would overload a single computer. centralized storage creates too many vulnerabilities. Big Data systems have to match the geographical spread of social media. the "Big" in Big Data necessitates over 10,000 processing nodes.

Real-time data warehousing can be used to support the highest level of decision making sophistication and power. The major feature that enables this in relation to handling the data is nature of the data. country of (data) origin. speed of data transfer. source of the data. Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is the processing power needed for the centralized model would overload a single computer. centralized storage creates too many vulnerabilities. Big Data systems have to match the geographical spread of social media. the "Big" in Big Data necessitates over 10,000 processing nodes.

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter7: Nonlinear Optimization Models

Section7.8: Estimating The Beta Of A Stock

Problem 44P

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		nature of the data.
		country of (data) origin.
		speed of data transfer.
		source of the data.

		the processing power needed for the centralized model would overload a single computer.
		centralized storage creates too many vulnerabilities.
		Big Data systems have to match the geographical spread of social media.
		the "Big" in Big Data necessitates over 10,000 processing nodes.