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Exam (elaborations)

MIS 2201:EXAM PREP WITH COMPLETE SOLUTION

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MIS 2201:EXAM PREP WITH COMPLETE SOLUTION

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  • September 2, 2024
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  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
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MIS 2201:EXAM PREP WITH COMPLETE
SOLUTION
What is a data warehouse? - =a set of databases to support decision-making in an organization.


What is a data mart? - =database or databases focused on addressing the concerns of a specific
problem or business unit.


What are the query and reporting tools? - =Canned reports, ad hoc reporting tools, dashboards,
OLAP, data cube


What is canned reports? - =provide regular summaries of information in a predetermined format


What is ad hoc reporting tools? - =puts users in control so that they can create custom reports on
an as-needed basis by selecting fields, ranges, summary conditions, and other parameters.


What is dashboards? - =heads-up display of critical indicators that allows managers to get a
graphical glance at key performance metrics.


What is Online Analytical Processing (OLAP)? - =takes data from standard relational databases,
calculates and summarizes the data, and then stres the data in a special database called a data
cube.


What is a data cube? - =special database used to store data in OLAP reporting.


What are data fields in Tableau? - =made from the columns in your data source.


What is data type in Tableau? - =integer, string, date.

, What is dimension in Tableau? - =contain qualitative values (names, dates or geographical data)
use them to categorize, segment and reveal details in your data. Aggregated - minimum,
maximum, count, or count (distinct)


What is measure in Tableau? - =contain numeric, quantitative values. Aggregated - sum,
average, and median.


What is discrete in Tableau? - ="individually separate and distinct" mathematical terms.


What is continuous in Tableau? - ="forming an unbroken whole, without interruption"
mathematical terms.


What is big data? - =refers to the huge collections of data that are difficult to process, analyze,
and manage using conventional database tools.


What are the 5 V's of big data? - =high volume, high velocity, diversified variety. unknown
veracity, and low-density value.


What is high volume? - =the size and amounts of big data that companies manage and analyze.


What is high velocity? - =the speed at which companies receive, store and manage data - e.g., the
specific number of social media posts or search queries received within a day, hour or other unit
of time.


What is diversified variety? - =the diversity and range of different data types, including
unstructured data semi-structured data and raw data


What is unknown veracity? - =the "truth" or accuracy of data and information assets, which often
determines executive-level confidence

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