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Flashcards in TPS Deck (13)
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0
Q

What are the components of a TPS?

A

the components of a transaction processing system, including:
– purpose
– data
– information technology
– processes – participants

1
Q

What is a transaction?

A

series of events
important to an organisation that involve a request, an acknowledgement, an action and an outcome

2
Q

What is batch processing?

A

batch transaction processing – the collection and storage of data for processing at a scheduled time or when there is sufficient data

3
Q

What is real time processing?

A

real time transaction processing – the immediate processing of data, for example, airline tickets, etc

4
Q

What type of backup systems are there?

A

data backup and recovery, including:
– grandfather, father, son
– off-site storage
– secure on-site storage
– full and partial backups

5
Q

Describe the process of grandfather, father, son

A

Gfs is a process of creating three copies of data, that roll over as more backups are made. For example, the first copy is the son. Then, a full backup is made, with the son becoming the father, and the new copy being the son. When a third copy is done, the father becomes the grandfather, the son the father, and the new copy is the son. The fourth time, the grandfather is deleted, or archived

6
Q

How have TPS changed the nature of work?

A

Change in emphasis on who processes from a clerk to the general public. This means that then there is a group of people whose jobs change significantly and could possibly be redundant.

7
Q

What are the advantages of a computer based system?

A
  • Large number of simultaneous transactions can be processed in less time (efficiency)
  • Greater reliability and backup (less prone to human error)
  • Higher storage capacity
  • Ease of retrieval
  • No digital deterioration
8
Q

What are the main differences between real time and batch processing?

A

Real time transactions are input into the system as soon as they arise. In batch mode transactions are collected into batches, which may be held for a while and input into the computer later, often overnight when the computers are not busy processing online transactions.

Batch processing often occurs when the data is first collected as hard copy. Batch processing is an automated process which requires no human intervention and it may be scheduled for a convenient time. However, if an error occurs, processing will halt, and by its nature, means that data is not always completely up to date.

9
Q

Describe data warehousing.

A

Data warehousing is the action of storing data on a relational database designed for analysis and query. Often the data is often derived from transactions but can involve data from other sources. The environment of a the warehouse includes an extraction, transportation, transformation, and loading solution, an online analytical processing (OLAP) engine, and client analysis tools.
For example; Google, being one of the most popular, highest trafficked websites in the world, holds one of the largest amount of data storage requirements. Therefore, Google utilizes data warehousing which holds;
Web Servers
Data-gathering servers
Index
Document
Ad-servers

10
Q

Describe data mining.

A

Data mining is a feature of a transaction processing system. Data mining is the analysis of relationships and patterns in data. It examines data for trends or anomalies without knowledge of the meaning of data. Human analysts find patterns in large amounts of data. Data mining tools are also able to analyse significant relationships that exists only when several dimensions are viewed at the same time. For data mining to be most effective, the use of a large database or Data Warehouse are incorporated to identify trends in large quantities of data.

11
Q

What is data integrity?

A

Data integrity refers to maintaining and assuring the accuracy and consistency of data over its entire life-cycle, and is a critical aspect to the design, implementation and usage of any system which stores, processes or retrieves data.

12
Q

What is data validity?

A

A quality of performance data. Valid data can be checked for their accuracy and reliability. For example, revenue data can be confirmed by tabulating invoices generated.