Chapter 11: Data Storage Design Flashcards

1
Q

are electronic lists of data that have been optimized to perform a particular transaction.

A

Files

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2
Q

is a collection of groupings of
information that are related to each other in some

A

Database

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3
Q

Sometimes files are called ___ ___ because of the way the records are linked together by the
pointers.

A

linked lists

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4
Q

___ ___ store core information that is important
to the business and, more specifically, to the
application, such as order information or customer
mailing information.

A

Master file

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5
Q

contain static values, such as a list of valid codes or the name of the U.S. states.

A

Look-up Files

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6
Q

holds information that can be
used to update a master file.

A

Transaction Files

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7
Q

records “before” and “after” images of data as the data are altered, so that an audit can be performed if the integrity of the data is questioned.

A

Audit File

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8
Q

stores past
transactions (e.g., old customers, past orders) that
are no longer needed by system users.

A

History or Archived File

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9
Q

is given to those
databases which are based on older, sometimes
outdated technology that is seldom used to
develop new applications;

A

Legacy database

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10
Q

Legacy systems are not usually used anymore, however be encountered in which types of databases

A
  1. Network Database - inverted trees
  2. Hierarchical Database - collection of records with each other
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11
Q

The basic premise of object data base or object oriented database is that all things should be treated as objects who have?

A
  1. Data (Attributes)
  2. Processes (Behavior)
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12
Q

In object databases, the attributes and behaviors determine an object’s?

A

object classes

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13
Q

Object oriented database management systems are mainly used to suppport what type of data?

A

Multimedia and complex data

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14
Q

A type of relational database that is used extensively on data warehousing

A

Multidimensional database

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15
Q

are designed to
accept and process many simultaneous requests

A

Transaction processing systems

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16
Q

Most efficient tables have no redundant values and very few null values (T or F)

A

True

17
Q

is the best way to optimize data
storage for efficiency.

A

Normalization

18
Q

Ways to speed up access to data: brings back redundancy to reduce joins in a query

A

Denormalization

19
Q

Ways to speed up access to data: reduce the number of times that the storage medium must be accessed during a transaction.

A

Clustering

20
Q

Ways to speed up access to data: Using values from one or more columns from each table to be able to find data faster

A

Indexing

21
Q

Ways to speed up access to data: estimating the amount of data that the hardware will need to
support.

A

Volumetrics