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In the Analyzing Disease Patterns from an Electronic Medical Records Data Warehouse case study,what was the analytic goal?


A) determine if diseases are accurately diagnosed
B) determine probabilities of diseases that are comorbid
C) determine differences in rates of disease in urban and rural populations
D) determine differences in rates of disease in males v.females

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MapReduce can be easily understood by skilled programmers due to its procedural nature.

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In a Hadoop "stack," what is a slave node?


A) a node where bits of programs are stored
B) a node where metadata is stored and used to organize data processing
C) a node where data is stored and processed
D) a node responsible for holding all the source programs

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Using data to understand customers/clients and business operations to sustain and foster growth and profitability is


A) easier with the advent of BI and Big Data.
B) essentially the same now as it has always been.
C) an increasingly challenging task for today's enterprises.
D) now completely automated with no human intervention required.

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Big Data uses commodity hardware,which is expensive,specialized hardware that is custom built for a client or application.

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In the opening vignette,why was the Telecom company so concerned about the loss of customers,if customer churn is common in that industry?

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The company was concerned about its loss...

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Which Big Data approach promotes efficiency,lower cost,and better performance by processing jobs in a shared,centrally managed pool of IT resources?


A) in-memory analytics
B) in-database analytics
C) grid computing
D) appliances

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How does Hadoop work?


A) It integrates Big Data into a whole so large data elements can be processed as a whole on one computer.
B) It integrates Big Data into a whole so large data elements can be processed as a whole on multiple computers.
C) It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer.
D) It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers.

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As the size and the complexity of analytical systems increase,the need for more ________ analytical systems is also increasing to obtain the best performance.

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________ bring together hardware and software in a physical unit that is not only fast but also scalable on an as-needed basis.

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In Application Case 7.6,Analyzing Disease Patterns from an Electronic Medical Records Data Warehouse,it was found that urban individuals have a higher number of diagnosed disease conditions.

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Big Data is being driven by the exponential growth,availability,and use of information.

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There is a clear difference between the type of information support provided by influential users versus the others on Twitter.

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Big Data simplifies data governance issues,especially for global firms.

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In most cases,Hadoop is used to replace data warehouses.

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In the Twitter case study,how did influential users support their tweets?


A) opinion
B) objective data
C) multiple posts
D) references to other users

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Organizations are working with data that meets the three V's-variety,volume,and ________ characterizations.

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Satellite data can be used to evaluate the activity at retail locations as a source of alternative data.

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Hadoop and MapReduce require each other to work.

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HBase is a nonrelational ________ that allows for low-latency,quick lookups in Hadoop.

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