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Persistent Data
Persistent data in the field of data processing denotes information that is infrequently accessed and not likely to be modified. Static data is information, for example a record, that does not change and may be intended to be permanent. It may have previously been categorized as persistent or dynamic. Dynamic data (also known as transactional data) is information that is asynchronously updated as new information becomes available. Updates to dynamic data may come at any time, with periods of inactivity in between. See also *JBND, Java library for programs handling persistent data *Persistent data structure *Persistent memory *Phantom OS Phantom OS is an operating system (OS) made by mostly Russian programmers (with help of some Uzbeks). It is based on a concept of persistent virtual memory, and uses a virtual machine, managed code, and bytecodes. It is one of a few OSes not bas ... - persistent operation system implementing concept of persistent data References {{Reflist C ...
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Data Processing
Data processing is the collection and manipulation of digital data to produce meaningful information. Data processing is a form of ''information processing'', which is the modification (processing) of information in any manner detectable by an observer.Data processing is distinct from ''word processing'', which is manipulation of text specifically rather than data generally. The term "Data Processing", or "DP" has also been used to refer to a department within an organization responsible for the operation of data processing programs. Data processing functions Data processing may involve various processes, including: * Validation – Ensuring that supplied data is correct and relevant. * Sorting – "arranging items in some sequence and/or in different sets." * Summarization(statistical) or (automatic) – reducing detailed data to its main points. * Aggregation – combining multiple pieces of data. * Analysis – the "collection, organization, an ...
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Data Record
In the context of a relational database, a row—also called a tuple—represents a single, implicitly structured data item in a table. In simple terms, a database table can be thought of as consisting of ''rows'' and columns."What is a database row?"
Cory Janssen, Techopedia, retrieved 27 June 2014 Each row in a table represents a set of related data, and every row in the table has the same structure. For example, in a table that represents companies, each row would represent a single company. Columns might represent things like company name, company street address, whether the company is publicly held, its VAT number, etc. In a table that represents ''the association'' of employees with depar ...
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Dynamic Data
In data management, the time scale of the data determines how it is processed and stored. Dynamic data or transactional data is information that is periodically updated, meaning it changes asynchronously over time as new information becomes available. 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 ch ...
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Transactional Data
In data management, the time scale of the data determines how it is processed and stored. Dynamic data or transactional data is information that is periodically updated, meaning it changes asynchronously over time as new information becomes available. 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 c ...
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Dynamic Data
In data management, the time scale of the data determines how it is processed and stored. Dynamic data or transactional data is information that is periodically updated, meaning it changes asynchronously over time as new information becomes available. 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 ch ...
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JBND
JBND is a pure Java library made to ease the creation of programs that present data stored in persistent sources to end users. It was created at first to streamline making Java Client applications for the WebObjects platform (by Apple Inc.), for which the GUI is written in Swing. However, JBND's architecture allows the expansion of the library to include other UI systems, as well as other persistence stores. Currently, JBND comes with full support for connecting Enterprise Objects Frameworks (the data layer of WebObjects) and Swing user interfaces. See also *Java *GUI * Swing *WebObjects WebObjects was a Java web application server and a server-based web application framework originally developed by NeXT Software, Inc. WebObject's hallmark features are its object-orientation, database connectivity, and prototyping tools. Ap ... {{refend External linksJBND homepage
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Persistent Data Structure
In computing, a persistent data structure or not ephemeral data structure is a data structure that always preserves the previous version of itself when it is modified. Such data structures are effectively immutable, as their operations do not (visibly) update the structure in-place, but instead always yield a new updated structure. The term was introduced in Driscoll, Sarnak, Sleator, and Tarjans' 1986 article. A data structure is partially persistent if all versions can be accessed but only the newest version can be modified. The data structure is fully persistent if every version can be both accessed and modified. If there is also a meld or merge operation that can create a new version from two previous versions, the data structure is called confluently persistent. Structures that are not persistent are called ''ephemeral''. These types of data structures are particularly common in logical and functional programming, as languages in those paradigms discourage (or fully forbid) ...
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Persistent Memory
In computer science, persistent memory is any method or apparatus for efficiently storing data structures such that they can continue to be accessed using memory instructions or memory APIs even after the end of the process that created or last modified them. Often confused with non-volatile random-access memory (NVRAM), persistent memory is instead more closely linked to the concept of persistence in its emphasis on program state that exists outside the fault zone of the process that created it. (A process is a program under execution. The fault zone of a process is that subset of program state which could be corrupted by the process continuing to execute after incurring a fault, for instance due to an unreliable component used in the computer executing the program.) Efficient, memory-like access is the defining characteristic of persistent memory. It can be provided using microprocessor memory instructions, such as load and store. It can also be provided using APIs that impleme ...
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Phantom OS
Phantom OS is an operating system (OS) made by mostly Russian programmers (with help of some Uzbeks). It is based on a concept of persistent virtual memory, and uses a virtual machine, managed code, and bytecodes. It is one of a few OSes not based on classic concepts of Unix-like systems. Its primary goal is to achieve simplicity and effectiveness in both the operating system and application software at the same time. It is free and open-source software (FOSS) released under a GNU Lesser General Public License (LGPL). Phantom is based on the principle that "Everything is an object", in contrast to the Unix-like approach of "Everything is a file". Basics ''Managed code'' – Memory protection on object level, rather than process level; absence of pointer arithmetic in managed code avoids many problems that exist and occur in unmanaged code. ''Global address space'' – Very effective and inexpensive inter-process communication (IPC). Single (flat) address space allows transfer ...
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