we consider the broader issue of how to decide what should be in a database and how to structure the tables that should be included. what is needed is a way of developing and designing a database to allow the requirements to be identified clearly and taken into account. getting a conceptual data model right is crucial to the development of a good database. implementation is the construction of a computer system according to a given design document and taking account of the environment in which the system will be operating (for example specific hardware or software available for the development). however, we can use this framework as the basis for a model of database development which incorporates three assumptions: we can separate the development of a database – that is, specification and creation of a schema to define data in a database – from the user processes that make use of the database. the conceptual data model then is a formal representation of what data a database should contain and the constraints the data must satisfy. we can use a relational representation of the conceptual data model as input to the design process.
the output of the design stage is a detailed relational specification, the logical schema, of all the tables and constraints needed to satisfy the description of the data in the conceptual data model. in developing a database for some applications it may be possible to predict the common requests that will be presented to the database and so we can optimise our design for the most common requests. in this case, there can be a problem keeping track of exactly how tables are defined and the ability to make changes to them, so it is not recommended for large development projects. the transfer of large quantities of existing data into a database is referred to as a bulk load. the aim of testing is to uncover errors in the design and implementation of the database, its structure, constraints and associated user and management support. consequently, maintenance of the database is a key issue. this involves restructuring and typically involves a ‘mini life cycle’ related to the development of changes to meet the new requirements.
perhaps more important to the system designer, the sdlc provides the big picture within which the database design and application development can be mapped out and evaluated. because the database life cycle (dblc) fits into and resembles the systems development life cycle (sdlc), a brief description of the sdlc stages is as follows. an initial assessment of the information flow-and-extent requirements must be made during this discovery portion of the sdlc. • should the existing system be modified? • should the existing system be replaced? participants in the sdlc’s initial assessment must begin to study and evaluate alternative solutions.
the feasibility study like the technical aspects of hardware and software requirements, the system cost, the operational cost must be evaluated. the result of analysis should be a better understanding of the system’s functional areas, actual and potential problems, and opportunities. the analysis phase also includes the creation of a logical systems design. the design includes all the necessary technical specifications for the screens, menus, reports, and other devices that might be used to help make the system a more efficient information generator. during the initial stages of the implementation phase, the system enters into a cycle of coding, testing, and debugging until it is ready to be delivered. almost as soon as the system is operational, end users begin to request changes in it.
as a specific type of information system, database design can be modeled using a similar sdlc type approach, the collection of these steps is sometimes referred to as the software development life cycle (sdlc). the software product the database development life cycle (ddlc) is inherently associated with the software development life cycle (sdlc), sdlc phases, sdlc phases, sdlc and dblc, database development life cycle pdf, sdlc methodology. the systems development life cycle (sdlc) is a process used in the development, creation, and maintenance of an information system. this process is often used in the creation or updating of a database system, and can serve as a useful tool for anyone trying to undertake a large database project.
abstract. a software development life cycle model (sdlc) consists of a set of processes (planning, requirements, design, the information system is developed and maintained within a framework called the system development life cycle ( relational database systems underpin the majority of the managed data storage in computer systems. this course, what is the difference between system development life cycle (sdlc and database life cycle (dblc)), what are the steps needed in the dblc to successfully design and implement in an enterprise database, database development pdf, system development life cycle database design
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