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In data management, dynamic data or transactional data is information that is periodically updated, meaning it changes asynchronously over time as new information becomes available. The concept is important in data management,[ citation needed ] since the time scale of the data determines how it is processed and stored.
Data that is not dynamic is considered either static (unchanging) or persistent, which is data that is infrequently accessed and not likely to be modified. Dynamic data is also different from streaming data, which is a constant flow of information. Dynamic data may be updated at any time, with periods of inactivity in between.
In enterprise data management, dynamic data is likely to be transactional, but it is not limited to financial or business transactions. It may also include engineering transactions, such as a revised schematic diagram or architectural document. In this context static data is either unchanged or so rarely changed that it can be stored remotely ("basement" or far) storage, whereas dynamic data is reused or changed frequently and therefore requires online ("office" or near) storage. An original copy of a wiring schematic will change from dynamic to static as the new versions make it obsolete. It is still possible to reuse the original, but in the normal course of business there is rarely a need to access obsoleted data. The current version of the wiring schematic is considered dynamic or changeable.
These two different contexts for "dynamic" are similar, but differ their time scale. Dynamic data can become static.
Persistent data is or is likely to be in the context of the execution of a program. Static data is in the context of the business historical data, regardless of any one application or program. The "dynamic" data is the new/updated/revised/deleted data in both cases, but again over different time horizons. Your paycheck stub is dynamic data for 1 week, or 1 day, then it becomes read-only and read-rarely, which would be either or both static and persistent.
In software engineering, multitier architecture is a client–server architecture in which presentation, application processing and data management functions are physically separated. The most widespread use of multitier architecture is the three-tier architecture.
Dynamic DNS (DDNS) is a method of automatically updating a name server in the Domain Name System (DNS), often in real time, with the active DDNS configuration of its configured hostnames, addresses or other information.
Multiversion concurrency control, is a concurrency control method commonly used by database management systems to provide concurrent access to the database and in programming languages to implement transactional memory.
A database transaction symbolizes a unit of work, performed within a database management system against a database, that is treated in a coherent and reliable way independent of other transactions. A transaction generally represents any change in a database. Transactions in a database environment have two main purposes:
IBM CICS is a family of mixed-language application servers that provide online transaction management and connectivity for applications on IBM mainframe systems under z/OS and z/VSE.
WinFS was the code name for a canceled data storage and management system project based on relational databases, developed by Microsoft and first demonstrated in 2003 as an advanced storage subsystem for the Microsoft Windows operating system, designed for persistence and management of structured, semi-structured and unstructured data.
The Access Database Engine is a database engine on which several Microsoft products have been built. The first version of Jet was developed in 1992, consisting of three modules which could be used to manipulate a database.
In computer science, data is any sequence of one or more symbols; datum is a single symbol of data. Data requires interpretation to become information. Digital data is data that is represented using the binary number system of ones (1) and zeros (0), instead of analog representation. In modern (post-1960) computer systems, all data is digital.
In online transaction processing (OLTP), information systems typically facilitate and manage transaction-oriented applications. This is contrasted with online analytical processing.
A web framework (WF) or web application framework (WAF) is a software framework that is designed to support the development of web applications including web services, web resources, and web APIs. Web frameworks provide a standard way to build and deploy web applications on the World Wide Web. Web frameworks aim to automate the overhead associated with common activities performed in web development. For example, many web frameworks provide libraries for database access, templating frameworks, and session management, and they often promote code reuse. Although they often target development of dynamic web sites, they are also applicable to static websites.
Replication in computing involves sharing information so as to ensure consistency between redundant resources, such as software or hardware components, to improve reliability, fault-tolerance, or accessibility.
In concurrency control of databases, transaction processing, and various transactional applications, both centralized and distributed, a transaction schedule is serializable if its outcome is equal to the outcome of its transactions executed serially, i.e. without overlapping in time. Transactions are normally executed concurrently, since this is the most efficient way. Serializability is the major correctness criterion for concurrent transactions' executions. It is considered the highest level of isolation between transactions, and plays an essential role in concurrency control. As such it is supported in all general purpose database systems. Strong strict two-phase locking (SS2PL) is a popular serializability mechanism utilized in most of the database systems since their early days in the 1970s.
A real-time database is a database system which uses real-time processing to handle workloads whose state is constantly changing. This differs from traditional databases containing persistent data, mostly unaffected by time. For example, a stock market changes very rapidly and is dynamic. The graphs of the different markets appear to be very unstable and yet a database has to keep track of current values for all of the markets of the New York Stock Exchange. Real-time processing means that a transaction is processed fast enough for the result to come back and be acted on right away. Real-time databases are useful for accounting, banking, law, medical records, multi-media, process control, reservation systems, and scientific data analysis.
Database caching is a process included in the design of computer applications which generate web pages on-demand (dynamically) by accessing backend databases.
Persistent data in the field of data processing denotes information that is infrequently accessed and not likely to be modified.
Business transaction management (BTM), also known as business transaction monitoring, application transaction profiling or user defined transaction profiling, is the practice of managing information technology (IT) from a business transaction perspective. It provides a tool for tracking the flow of transactions across IT infrastructure, in addition to detection, alerting, and correction of unexpected changes in business or technical conditions. BTM provides visibility into the flow of transactions across infrastructure tiers, including a dynamic mapping of the application topology.
Versant Object Database (VOD) is an object database software product developed by Versant Corporation.
Data at rest in information technology means data that is housed physically on computer data storage in any digital form. Data at rest includes both structured and unstructured data. This type of data is subject to threats from hackers and other malicious threats to gain access to the data digitally or physical theft of the data storage media. To prevent this data from being accessed, modified or stolen, organizations will often employ security protection measures such as password protection, data encryption, or a combination of both. The security options used for this type of data are broadly referred to as data at rest protection (DARP).
Oracle NoSQL Database is a NoSQL-type distributed key-value database from Oracle Corporation. It provides transactional semantics for data manipulation, horizontal scalability, and simple administration and monitoring.
A Vendor Neutral Archive (VNA) is a medical imaging technology in which images and documents are stored (archived) in a standard format with a standard interface, such that they can be accessed in a vendor-neutral manner by other systems.