ORM as if creates the "virtual" database scheme in memory and allows to manipulate data already at the object level. Principle of operation of ORM-Key feature of ORM is display which is used for an object binding to its data in a DB. ORM provides complete division of tasks in well programmed applications in case of which both the database, and the application can work dataful everyone in the root form. The majority of ORM tools considerably rely on meta data of the database and objects so objects need to know nothing about a database structure, and the database - nothing about how data are organized in the application. ORM is used for simplification of process of saving objects in a relational database and their extraction, in case of this ORM itself cares for data transformation between two incompatible statuses. ORM or Object-relational mappingis a technology of programming which allows to transform incompatible types of models to OOP, in particular, between the data store and subjects to programming. Besides, specifics of specific DBMS in case of physical design include a choice of the decisions connected to a physical medium of data storage (a choice of methods of management of disk memory, division of a DB according to files and devices, data access methods), creation of indexes etc. Specifics of specific DBMS can include restrictions for naming of database objects, restrictions for the supported data types, etc. Physical design - creation of the database scheme for specific DBMS. This stage can be substantially automated.Īt a stage of logic design specifics of a specific data model are considered, but specifics of specific DBMS can not be considered. For a relational data model data logical model - a set of diagrams of the relations, it is normal with specifying of primary keys, and also the "communications" between the relations representing foreign keys.Ĭonversion of conceptual model to a logical model is, as a rule, carried out by the formal rules. Logic design - creation of the database scheme on the basis of a specific data model, for example, a relational data model.
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description of integrity constraints, that is requirements to admissible values of data and to communications in between.description of information objects or concepts of data domain and communications in between.Most often the conceptual model of the database includes: Graphic notations, similar to ER charts are usually used. The specific type and the maintenance of conceptual model of the database is defined by the formal device selected for this purpose. The terms "semantic model", "conceptual model" are synonyms. Such model is created without orientation to any specific DBMS and a data model. Abbreviation of redundance and duplicating of data.Ĭonceptual design - creation of a semantic domain model, that is information model of the highest level of abstraction.
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A data acquisition possibility on all necessary requests.Support of storage in a DB of all necessary information.PostgreSQL teamed up with Amazon RDS can be used for applications of any level of complexity.Design of databases - process of creation of the database scheme and determination of necessary integrity constraints. Such fully-managed database-as-a-service can be set up in minutes and scaled to any size a growing organization. PostgreSQL’s efficiency is growing in conjunction with Amazon RDS allowing for a focus on product and business development instead of the internal database administration duties. PostgreSQL supports a high level of performance optimization equivalent to Oracle and SQL Server and is fit for performing complicated, high-volume data operations including large and complicated analytical processes. PostgreSQL is used as the primary data store or data warehouse for web, mobile, geospatial, and analytical applications. PostgreSQL natively supports JSON and XML, and doesn’t limit the size of your databases. Its users include Apple, Facebook, Spotify and many other enterprise developers and start-ups. PostgreSQL is an enterprise-class open source, free, stable object-relational database management system that supports both SQL (relational) and JSON (non-relational) querying.