Chapter 1 Flashcards

Database Approach

1
Q

Data

A

Raw facts that have not been processed to reveal their meaning. Data forms the building blocks of information

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2
Q

Information

A

The result of processing raw facts. Requires context. Produced by processing data, reveals meaning in data and is required for decision making

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3
Q

Knowledge

A

the body of information and facts about a specific subject. It implies familiarity awareness and understanding information as it applies to an environment.

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4
Q

Data management

A

a discipline that focusses on the proper generation, storage and retrieval of data

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5
Q

What are the 6 levels of examining data quality?

A
  1. Accuracy: is the data accurate and come from a verifiable source?
  2. Revelance: Is the data relevant to the organisation?
  3. Completeness: is the required data being stored?
  4. Timeliness: data updated frequently in order to meet business requirements?
  5. Uniqueness: no redundancy in the DB
  6. Unambiguous: meaning of the data clear?
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6
Q

What is data governance?

A

term used to describe a strategy or methadology defined by an organisation to safeguard data quality

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7
Q

What is a data governance strategy?

A

involves the development of a series of policies and procedures for managing availability, usability, quality, integrity and security of data within the organisation.

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8
Q

What 3 modern settings involve data management?

A

Business
Research
Administration

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9
Q

What is a Database?

A

shared, integrated computer structure that stores a collection of: -End user data(facts) and metadata (data about data).

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10
Q

What is a DBMS?

A

A database management system is a collection of programs that manage database structure and controls access to data. A DBMS enables sharing of data among multiple application or users. It makes data management more efficient and effective.

in short it manages the interaction between the end user and the database.

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11
Q

List and explain 4 roles of the DBMS

A
  1. Improved data sharing: end users have better management and access to larger amount of data
  2. Better data integration:
  3. Minimised data inconsistency
  4. Improved data access: quick responses can be produced through ad hoc queries (specific request for data manipulation).
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12
Q

single-user database and an example

A

supports only one user at a time.
Example: a desktop database: a single database running on a personal computer

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13
Q

Multi-user database

A

supports multiple users at the same time.
Workgroup database supports a small group of users (fewer than 50)
Enterprise database supports a large group of users (usually hundreds)/

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14
Q

How can we categorise databases

A

-by number of users
- by location
- by use
- by the degree to which data is structured
- by model

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15
Q

Database by location
centralised vs distributed

A

Centralised supports data located at a singe site
Distributed supports data distributed across several sites

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16
Q

Types of databases
by use
Transactional

A

Transactional supports a company’s day-to-day operations

17
Q

Types of databases
by use
Data warehouse

A

stores data used to generate information required to make tactical or strategic decisions. Often stores historical data. has a different structure. Database Area has evolved into its own discipline:BI

18
Q

Explain the degree to which the data is structured

A
  • Unstructured: original raw state
  • Structured: formatted unstructured data
  • Semi-structured: processed to some extent
    -XML database supports the storage and management of semi-structured XML data
    (XML- extensible markup language used to rep and manipulate data in a textual format)
19
Q

Types of databases by model

A
  • Hierachial: data organized into tree-like structure
  • Object: data organized into objects (object oriented dev)
  • Relational: data organized into table structures. Tables are grouped into relations
20
Q

What is open source software?

A

it is free to acquire and use the product itself. Costs are involved in the development and on-going support of the software. LAMP is used to define open source software such as Linux, Apache web server.

21
Q

Why is Database design important?

A

Database design involves the design pf a database structure. It defines a database’s expected use. Poorly designed databases generate errors which lead to bad decisions. This eventually results in the failure of an organization.Even a good DBMS will perform poorly with a badly designed database

22
Q

Historical roots: why must one understand file system characteristics ?

A

makes the database design easier to understand.

23
Q

Historical roots: why must one be aware of problems regarding file systems ?

A

it helps prevent similar problems in DBMS

24
Q

Historical roots: Why must one have knowledge of file systems?

A

its helpful if you plan to convert an obsolete file system to a DBMS

25
Q

How does a manual file system work?

A

a collection of files is kept in a file cabinet. organization within folders based on data’s expected use. Finding and using data in growing collections of file folders become time-consuming and cumbersome