MIS Chap 5 - Data Resource Management

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21 Terms

1
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What is Database Management Approach designed to replace ?

Overcome the limitations of traditional file-based system

  • Independent files are integrated in a database of various application programs and can be used for storage and information retrieval

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What is a Database ?

  • collection of logically related data which has a specific meaning and purpose

  • allows access, retrieval, modification and use of the data

  • created using database software

3
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What are the pros of Database ?

  • reduces data redundancy, data isolation and data inconsistency

  • maximizes data security, data integrity and independence

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What are the 4 major operations of DBMS ?

  • Creating and entering data into the database

  • Accessing data in the database

  • Querying data from the database

  • Displaying data from the database

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What is Data Model ?

  • A collection of interrelated data which is used to identify, control and organize data based on the users’ perspective

  • Contains the basic concepts of a database so that end-users and programmers can understand and manipulate the data easily

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What are the 3 categories of Data Model ?

  • Object-based data model

  • Record-based data model

  • Physical data model

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What is Object-based Data Model ?

Refers to entities, attributes and relationship.

  • entity is an object which describes a person, things or events

  • attributes are the elements or behaviours of the entity that has been described

  • relationship is the connection between two or more entities by the attribute.

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What is Record-based Data Model ?

Also KA logical data model

  • Consist of Relational, Multidimensional, Network and Hierarchical Data Model

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Which is better in terms of size capacity, time of access, and ease of data searching ? Multidimensional or Relational ?

Multidimensional

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What is Physical Data Model ?

  • Refers to data storage and information process

  • These models are not commonly used to compare to logical data models

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What is a Data Warehouse ?

Huge storage which is used to store large databases

  • Data can be accessed faster and effectively

  • Scattered in many different locations using a network connection

  • Multidimensional data models are used to store data

  • Data in a data warehouse remains once stored

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What is OLTP ?

Stands for Online Transaction Processing

  • transactions are processed online as soon as it happens

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What is OLAP ?

Stands for Online Analytical Processing

  • involves analysis of collected data by end-users

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What is the advantages of Data Warehouses ?

  • End-users can access data easily and quickly

  • Data can be analysed accurately and efficiently

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What is Data Mart designed for ?

End-users in a small company or department

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Differences Between Data Warehouses and Data Mart

DW :

  • Larger, More Expensive, Slower Access

DM :

  • (Contrary)

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What is Data Mining/OLAP and what does it achive ?

Process of accessing and analyzing data in a data warehouse or data mart

  • large data are stored in data warehouses, to minimize the process, data mining or OLAP is used to extract data for easier access

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Difference between Data Mining & OLAP

  • Data Mining : discovers hidden patterns and operates on a more detailed level.

  • OLAP : provides a summary of the data and generates rich calculations

However, they both can be ulitized together due to being complementary

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What is a Cloud Database ?

  • A database that typically runs on a cloud computing platform.

  • Hosted by a third-party service provider on a remote server and accessed over the Internet

  • Runs on a cloud provider’s platform and data can only be stored or accessed when there is an Internet connection.

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What are the Advantages and Disadvantages of Cloud Database ?

  • Pros : Easy access, easy to install and maintain scalability, Security

  • Cons : Expensive, Inflexible Configuration Setting

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What is Data Centre ?

A centralized physical space dedicated to storing data in organizations

  • Data centre stores data within an organization’s local network, while cloud computing stores data on the Internet.