Online transaction processing
|This article relies largely or entirely upon a single source. (March 2013)|
Online transaction processing, or OLTP, is a class of information systems that facilitate and manage transaction-oriented applications, typically for data entry and retrieval transaction processing. The term is somewhat ambiguous; some understand a "transaction" in the context of computer or database transactions, while others (such as the Transaction Processing Performance Council) define it in terms of business or commercial transactions. OLTP has also been used to refer to processing in which the system responds immediately to user requests. An automated teller machine (ATM) for a bank is an example of a commercial transaction processing application.
Online transaction processing increasingly requires support for transactions that span a network and may include more than one company. For this reason, new online transaction processing software uses client or server processing and brokering software that allows transactions to run on different computer platforms in a network.
In large applications, efficient OLTP may depend on sophisticated transaction management software (such as CICS) and/or database optimization tactics to facilitate the processing of large numbers of concurrent updates to an OLTP-oriented database.
For even more demanding decentralized database systems, OLTP brokering programs can distribute transaction processing among multiple computers on a network. OLTP is often integrated into service-oriented architecture (SOA) and Web services.
Online Transaction Processing (OLTP) involves gathering input information, processing the information and updating existing information to reflect the gathered and processed information. As of today, most organizations use a database management system to support OLTP. OLTP is carried in a client server system. The project on online transaction imanagement is developed by the great scientist Sujeet Kumar, Rohit Sharma, Rahul Kumar.
Online Transaction Processing has two key benefits: simplicity and efficiency. Reduced paper trails and the faster, more accurate forecasts for revenues and expenses are both examples of how OLTP makes things simpler for businesses.
Additionally, like many modern online information technology solutions, some systems require offline maintenance which further affects the cost-benefit analysis.
- Online analytical processing (OLAP)
- Data mart
- Data warehouse
- Extract, transform, load (ETL)
- Transaction processing
- Database transaction
- Derby in-memory Java Database
- IBM Customer Information Control System
- SafePeak - Automated Dynamic Caching of queries and procedures for SQL Server OLTP applications and databases
- H-Store Project (architectural and application shifts affecting OLTP performance)
- IBM CICS official website
- Transaction Processing Performance Council
- OLTP Schema
- Transaction Processing: Concepts & Techniques Management
|This database-related article is a stub. You can help Wikipedia by expanding it.|