Exam 11: Big Data and Analytics

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Hive creates MapReduce jobs and executes them on a Hadoop Cluster.

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NoSQL systems allow ________ by incorporating commodity servers that can be easily added to the architectural solution.

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Big data allows for two different data types (text and numeric).

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With HDFS it is less expensive to move the execution of computation to data than to move the:

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The original three 'v's attributed to big data include volume, variety, and velocity.

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DataNodes in an HDFS cluster represents the large number of slaves.

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Hive is an Oracle data warehouse software.

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Predictive analytics answers the question: "How can we make it happen?"

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Decision Support Systems (DSS) was a precursor to analytics and business intelligence.

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The dive in anywhere characteristic of a data lake is overrides constraints related to confidentiality.

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First degree or complete price discrimination relates to:

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Big data requires effectively processing:

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Apache Cassandra is a wide-column NoSQL database management system.

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Word processing documents are commonly stored in a 'document store' NoSQL database model.

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Analytics are typically divided into three major categories (i.e. descriptive analytics). Describe each category and provide an example question that each category would address.

(Essay)
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Big data databases tend to sacrifice consistency for availability.

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NameNode in an HDFS cluster represents the single master server.

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The Hadoop framework consists of the ________ algorithm to solve large scale problems.

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HP HAVEn integrates HP technologies with open source big data technologies.

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________ are examples of Business Intelligences and Analytics 3.0 because they have millions of observations per second.

(Multiple Choice)
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