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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 Kimball lifecycle is a methodology for developing data warehouses, and has been developed by Ralph Kimball and a variety of colleagues. The methodology "covers a sequence of high level tasks for the effective design, development and deployment" of a data warehouse or business intelligence system. [1]
In modern management usage, the term data is increasingly replaced by information or even knowledge in a non-technical context. Thus data management has become information management or knowledge management.
Exceptions to the typical life cycle occur with non-recurring issues outside routine operations. For example, when a legal hold, litigation hold, or legal freeze is required, a records manager places a legal hold within the records management system, preventing the affected files from being scheduled for disposition.
An important part of this approach is iterative development, where the entire software life-cycle is run multiple times during the life of a project. Every iteration witnesses the complete software development life cycle despite the iterations being of short duration that can vary between weeks to a few months. [1]
A real-life ETL cycle may consist of additional execution steps, for example: Cycle initiation; Build reference data; Extract (from sources) Validate; Transform (clean, apply business rules, check for data integrity, create aggregates or disaggregates) Stage (load into staging tables, if used) Audit reports (for example, on compliance with ...
A life-cycle "model" is sometimes considered a more general term for a category of methodologies and a software development "process" is a particular instance as adopted by a specific organization. [ citation needed ] For example, many specific software development processes fit the spiral life-cycle model.
Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.