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One of the distinctives of a really modern programming language is the connection of a language, applications, motto algorithms to create and business problems with a underlying database. If there is virtually no separation between a database and its programming language, developers strongly increase their productivity, maximizes the effectiveness of the code you write and provide incomparable speed and flexibility to support commercial needs. Predicting a programming language in a database offers these advantages by treating developers to dealing with data as if loading the handling were loaded, as the data is displayed in the underlying database. This simple advantage potentially flexibility address business problems and when used with advanced logical languages allows developers to require write applications to a fraction of time and with less effort than usual.
The particular advantages of the close coupling of a database with its programming language include the elimination of the traditional discrepancy between data structures and database representations, intelligent caching with transaction technologies to commit or undo changes to the database and to automatically change object definitions. These benefits remove the database as an otherwise complicating factor in supporting business use of data by giving developers the flexibility to develop innovative solutions and implement them quickly.
Developers focus on manipulating data structures to solve business problems. Traditionally, this concern has been hampered by the responsibility of translating these structures into the way data is represented in the database, a time-consuming necessity that distracts programmers from business problems. Database or graphical database with their programming environment allows users to manipulate data objects in memory and they are automatically retained in memory. Developers can concentrate exclusively on working with data structures for business purposes, without much or more effort for data management. Programming languages produce this effect when they are imbued with an intelligent caching layer that persists in the database when data is manipulated from memory. This advantage requires that the programming language be based on a specific database. It eliminates the mismatch between working on data structures and toiling to get the underlying tag ta on and off the hard drive.
The cached memory layer also requires the difficulties inheriting the data objects that show on other objects, which is an unmistakable seal of objectified systems and graphics databases. These databases require an intelligent cache store as an object may contain most of the database by pointing to objects that in turn show additional objects. The additional coupling between this language and your database corrects this problem so that the developer cache is required to operate the data in memory while automating its effects on the hard disk. Caching is significantly improved with transaction technologies so that developers can specify if their changes want to be stored in the database. At this path, if you make a mistake, you can easily return in good time before it’s done, and undo you. Know your work successfully, you can successfully complete your work, you can easily affect changes in the database. The other advantages, their advantages, increases the productivity of the developer to attack commercial requirements. Add Flexibility Programmers need to innovate solutions for mission targets by writing or integrating applications.
Object and Class Definitions
The third advantage of an intelligent programming language based on a database is the ability to dynamically change the definition of data objects. In traditional approaches, this task requires developers to stop writing or running applications and manually write code to adjust the classification, which can include either reading or rewriting the data. But without separation between the database and its sufficiently intelligent programming language, such a coupling can effectively keep track of classifications and automatically change them if necessary. Developers can seamlessly add or remove features without manual coding, which also increases their productivity. For example, if you add an attribute to an object, the next time you see it, it will magically have the new function. Alternatively, when they create a new feature from a previous classification and decide to remove it, You won’t see it anymore. The best part is that these changes are made without rewriting the classification.
There is one more ability of highly intelligent programming languages: you can combine these benefits with advanced logic languages such as Prolog. Prolog, or a subset of Prolog called Datalog and use them as a query language right away. In addition, Prolog makes it very easy to build rule-based applications, as declarative logic-based rules can be written with minimal programming. For example, you can set up a series of event-based rules that will detect customer loss, money laundering, or other important business results without being hampered by unnecessary database problems in order to deliver the time to value. That is unsurpassed without this method. Integrating a programming language into a database improves developer efficiency and effectiveness by allowing developers to work on data in memory and permanent changes in memory, intelligent caching of data and rollback of changes as needed, and dynamic adaptation of definitions.