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Big data analytics vocabulary quiz

How much do you know about the essential terminology of big data analytics? Take our quiz to find out. Would you like to brush up first? See our Quick Start Glossary.

1. _____ is sorting through data to identify patterns and establish relationships – digging for information.
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2. _____ is data that has not been organized into a database or other type of repository.
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3. _____ is data that has not been processed to yield information.
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4. _____, abbreviated as DA, is the science of examining raw data with the purpose of drawing conclusions about that information.
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5. _____ is data in a volume and format that makes it accessible, informative and actionable. Examples include baseball scores, inventory reports, driving records, sales data, biometric measurements, search histories, weather forecasts and usage alerts.
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6. _____, abbreviated BDaaS, is the delivery of statistical analysis tools or information by an outside provider that helps organizations understand and use insights gained from large information sets.
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7. _____ is the representation of data in graphic form to make its information more readily accessible.
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8. _____, abbreviated “PA,” is the branch of DA involved with forecasts of future probabilities and trends.
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9. _____ is Google’s cloud-based big data analytics web service for processing very large read-only data sets. It’s designed for analyzing data on the order of billions of rows, using a SQL-like syntax.
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10. ____, also referred to as a data lake, is a new big data management model for big data that utilizes Hadoop as the central data repository.
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This was last updated in April 2015

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