Database management Flashcards

1
Q

what was the Criteria relating to data integrity

A

accuracy
correctness
currency
completeness
relevance

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2
Q

Data corruption

A

errors in computer data that occur during writing, reading, storage, transmission, or processing, which introduce unintended changes to the original data

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3
Q

Hard drive failure

A

failure of the hard drive that stores the data would result in complete loss of the data or data corruption

solution
RAID
BACKUP
AUDIT TRAILS

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4
Q

Human error

A

data can be accidentally deleted or incorrectly updated

SOLUTIONS
MINIMIZE USER EDIT PRIVILEGES
AUDIT TRAIL
DATA VALIDATION

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5
Q

Power outages

A

data being lost or completed due to power outages and the built-in processors of the computer not preparing a proper shutdown

SOLUTIONS
-UPS
REDUNDANT POWER SUPPLY

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6
Q

Malware

A

viruses, worms, trojan horses and ransomware can all corrupt data

solutions
firewall
anti-malware
education

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7
Q

SQL injection

A

running maliciously intended SQL queries to gain access to confidential data and even corrupt or destroy entire tables

solution
data validation
GUI
limit website access to the database to execute SQL statements
do not send database error messages to the client’s web browser

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8
Q

NoSQL databases

A

unstructured, flexible and store data in what is called “documents”

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9
Q

Document NoSQL database

A

file folders that collect related data of many different types. they consist of collections each containing many documents that are differently structured

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10
Q

Data warehousing

A
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11
Q

Big data

A

a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques

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12
Q

Volume

A

the size of the data sets that needs to be analysed and processed

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13
Q

Velocity

A

the speed at which the data is generated

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14
Q

Variety

A

an individual unit that contains raw materials which do not carry any specific meaning

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15
Q

Veracity

A

the quality of the data. it is the most important of the four Vs

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16
Q

Knowledge Discovery in Databases

A

the overall process of discovering useful knowledge from a collection of data

17
Q

steps in the KDD process are

A
  • data cleaning
  • data integration
    -data selection
    data transformation
    -data mining
    -pattern evaluation
  • knowledge presentation
18
Q

Data mining

A

a set of techniques for discovering hidden, valid and potentially useful patterns or trends in a data set

19
Q

data mining consists of 5 strategies

A

=extract,transform and load transaction data
= Store and manage data
=provide data access to business analysts
=analyze the data
=present the data in a useful format