Transaction processing system (tps)

poojasinghal6 165 views 6 slides Apr 09, 2020
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About This Presentation

This slide discusses about TPS and its basic knowledge.


Slide Content

Pooja Kumari Assistant Professor (Commerce) CMG GCW, Bhodia Khera ( Fatehabad ) Transaction Processing System (TPS)

What is TPS A Transaction Processing System is a set of information to processes the data transaction in database system.  The system is useful when something is sold over the internet . It allows for a time delay between when an item is being sold and when it is actually sold. So that other customer does not order the same. An example is that of a online bus ticket booking. While the customer is filling out their information to purchase bus ticket; the transaction processing system is holding the ticket so that another customer cannot also buy it. It allows for a ticket not to be sold to two different customers.

A transaction process system (TPS) is an information processing system for business transactions involving the collection, modification and retrieval of all transaction data. Meaning of TPS

Types of Processing on TPS

Features of TPS Performance: Depends upon number of transaction performed. Continuous availability: System will be available even if other transaction is being processed. Data integrity: Data would remain same. Eg . two users can not book same seat of PVR. Ease of use: It is very simple and easy to understand thus use. Retrieval of information anytime: As back up system exist.

Ideal TPS Good data placement : The database should be designed to access patterns of data from many simultaneous users. Short transactions : Short transactions enables quick processing. This avoids concurrency and paces the systems. Real-time backup : Backup should be scheduled between low times of activity to prevent lag of the server. High normalization : This lowers redundant information to increase the speed and improve concurrency, this also improves backups. Archiving of historical data : Uncommonly used data are moved into other databases or backed up tables. This keeps tables small and also improves backup times. Good hardware configuration : Hardware must be able to handle many users and provide quick response times.
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