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.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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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
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nature of the data.
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country of (data) origin.
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speed of data transfer.
|
||
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source of the data.
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Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is
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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.
|
||
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the "Big" in Big Data necessitates over 10,000 processing nodes.
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