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What is Online Transaction Processing (OLTP)

Encyclopedia of Information Science and Technology, Fourth Edition
It refers to a class of systems that facilitate and manage transaction-oriented applications, typically for data entry and retrieval transaction processing .
Published in Chapter:
Adapting Big Data Ecosystem for Landscape of Real World Applications
Jyotsna Talreja Wassan (Maitreyi College, University of Delhi, India)
Copyright: © 2018 |Pages: 12
DOI: 10.4018/978-1-5225-2255-3.ch029
Abstract
Big data is revolutionizing world in the age of Internet. The wide variety of areas like online businesses, electronic health management, social networking, demographics, geographic information systems, online education etc. are gaining insight from big data principles. Big data is comprised of heterogeneous datasets which are too large to be handled by traditional relational database systems. An important reason for explosion of interest in big data is that it has become cheap to store volumes of data and there is a major rise in computation capacity. This article aims at giving an overview of Big Data Ecosystem comprising various big data platforms useful in today's competitive world.
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Digital Knowledge Transfer for Banks: From a Lean Data Management Perspective
A type of data processing enables the online real-time execution of a large number of transactions by a large number of people.
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Models and Techniques for Approximate Queries in OLAP
A methodology for representing, managing, and querying DB data generated by user/application transactions according to flat (e.g., relational) schemes.
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Significance of In-Memory Computing for Real-Time Big Data Analytics
Transactions are Basic business operations such as customer orders, purchase orders, receipts, time cards, invoices, and payroll checks in an organization. Transaction processing systems (TPS) perform routine operations and serve as a foundation for other systems. Online transaction processing (OLTP) is a computerized processing system whereby each transaction is processed immediately, without the delay of accumulating transactions into a batch and the affected records are updated accordingly. The OLTP: 1) Holds Current Data; 2) Store Detail of data; 3) Dynamically change data by operation such as Insert, Update and Delete for repetitive processing and high level of transaction; and 4) Support day to day decision making. The earliest OLAP systems used multidimensional arrays in memory to store data cubes and are known as multidimensional OLAP (MOLAP) systems. OLAP implementations using only relational database features are called relational OLAP (ROLAP) systems. Hybrid systems, which store some summaries in memory and store the base data and other summaries in a relational database, are called hybrid OLAP (HOLAP) systems.
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Histogram-Based Compression of Databases and Data Cubes
A methodology for representing, managing and querying DB data generated by user/application transactions according to flat (e.g., relational) schemes.
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Data Warehouse Software
Handles real-time transactions which inherently have some special requirements.
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Fundamental Concepts of Cloud Computing
This is one type of data processing systems, is purely operational, and is used to solve data problems.
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Organizational Data Warehousing
A database designed to support transactional processing.
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Emergence of NoSQL Platforms for Big Data Needs
It refers to a class of systems that facilitate and manage transaction-oriented applications, typically for data entry and retrieval transaction processing.
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Data Warehousing for Decision Support
OLTP is a database designed to support transactional processing.
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