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Database design is the organization of data according to a database model. The designer determines what data must be stored and how the data elements interrelate. With this information, they can begin to fit the data to the database model. [1] A database management system manages the data accordingly.
The degree to which the administration of a database is automated dictates the skills and personnel required to manage databases. On one end of the spectrum, a system with minimal automation will require significant experienced resources to manage; perhaps 5-10 databases per DBA.
Data architecture should be defined in the planning phase of the design of a new data processing and storage system. The major types and sources of data necessary to support an enterprise should be identified in a manner that is complete, consistent, and understandable.
Unfortunately, since migration is one of the final activities before the production phase, it often receives insufficient attention. The following steps can structure migration planning: [60] Identify the data to be migrated. Determine the migration timing. Generate data migration templates for key data components; Freeze the toolset.
The last step in data modeling is transforming the logical data model to a physical data model that organizes the data into tables, and accounts for access, performance and storage details. Data modeling defines not just data elements, but also their structures and the relationships between them.
A systems development life cycle is composed of distinct work phases that are used by systems engineers and systems developers to deliver information systems.Like anything that is manufactured on an assembly line, an SDLC aims to produce high-quality systems that meet or exceed expectations, based on requirements, by delivering systems within scheduled time frames and cost estimates. [3]
Query optimizer – component of a database management system that attempts to determine the most efficient way to execute a query. Query plan – ordered set of steps used to access or modify information in a SQL relational database management system. Also called a "query execution plan".
Business systems planning (BSP) is a method of analyzing, defining and designing the information architecture of organizations. It was introduced by IBM for internal use only in 1981, [ 1 ] although initial work on BSP began during the early 1970s.